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@AustinRochford
Last active May 5, 2024 23:36
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Revisiting Bayesian Survival Analysis in Python with PyMC
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{
"cells": [
{
"cell_type": "markdown",
"id": "a895f2b9-9295-4747-a763-45224ef47cb0",
"metadata": {},
"source": [
"Recently during an [interview](https://www.youtube.com/watch?v=asfln1C0SnA) to promote the upcoming [PyMCon Web Series](https://pymcon.com/) (for which I am mentoring one of the first round of presenters), my friend [Ravin Kumar](https://ravinkumar.com/) kindly mentioned that a 2015 post of mine, [_Bayesian Survival Analysis in Python with PyMC3_](https://austinrochford.com/posts/2015-10-05-bayes-survival.html), drove a lot of his early interest in PyMC. Ravin's comment caused me to revisit the post and realize how out of date it is. In the six and a half years since it was published, there have been advances along many fronts:\n",
"\n",
"1. [PyMC](https://www.pymc.io/welcome.html) is now on version 5; in 2015 I was using version 3 for that post. Since that time Theano has been deprecated, PyMC considered alternate backends for some time, Aesara was forked from Theano, and finally PyTensor was forked from Aesara. Not only has the backend for tensor computation evolved, the PyMC API has been improved and expanded significantly over the past six and a half years.\n",
"2. [ArviZ](https://python.arviz.org/en/stable/) [development](https://github.com/arviz-devs/arviz/graphs/contributors) technically started 2015, but didn't take off until 2018. ArviZ has kept pace with theoretical developments in Bayesian model criticism and grown to be an integral part of my Bayesian modeling workflow.\n",
"3. [nutpie](https://github.com/pymc-devs/nutpie) [emerged](https://github.com/pymc-devs/nutpie/graphs/contributors) in the second half of 2022 as an extremely fast Rust implementation of adaptive HMC that can sample from the posteriors of Bayesian models specified with either PyMC or [Stan](https://mc-stan.org/).\n",
"4. [seaborn](https://seaborn.pydata.org/) recently released the [seaborn.objects](https://seaborn.pydata.org/tutorial/objects_interface.html) interface, an exciting development in bringing [grammar of graphics](https://www.amazon.com/Grammar-Graphics-Statistics-Computing/dp/0387245448)-style visualization to Python.\n",
"5. I have improved at least somewhat as a developer, modeler, and a writer since 2015 😊.\n",
"\n",
"For all of these reasons, I thought it would be fun for me and perhap helpful to others to revisit this post and rework the example with updated techniques.\n",
"\n",
"First we make the necessary Python imports and do some light configuration."
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "5a4c7795-30a9-45c2-a9f5-a27ccf51515a",
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "e56eda9d-40c1-4543-bcdc-a2eddbddaff9",
"metadata": {},
"outputs": [],
"source": [
"from multipledispatch.dispatcher import AmbiguityWarning\n",
"from warnings import filterwarnings"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "63e2f2f8-d21e-4614-9fce-85d4bbfeb16d",
"metadata": {},
"outputs": [],
"source": [
"import arviz as az\n",
"import lifelines as ll\n",
"from matplotlib import pyplot as plt\n",
"from matplotlib.ticker import NullLocator\n",
"import numpy as np\n",
"import nutpie\n",
"import pandas as pd\n",
"import pymc as pm\n",
"from pytensor import tensor as pt\n",
"import seaborn as sns\n",
"from seaborn import objects as so\n",
"from statsmodels.datasets import get_rdataset"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "71f48b3c-a10c-44d8-9534-83fde6b12a03",
"metadata": {},
"outputs": [],
"source": [
"filterwarnings(\"ignore\", category=AmbiguityWarning)\n",
"filterwarnings(\"ignore\", module=\"pymc\", category=FutureWarning)"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "4ba83d6d-4d43-41c5-80fb-f3175413ab5b",
"metadata": {},
"outputs": [],
"source": [
"plt.rc(\"figure\", figsize=(8, 6))\n",
"sns.set(color_codes=True)"
]
},
{
"cell_type": "markdown",
"id": "d23849f1-479a-41f6-8cda-dc9ca64c8c91",
"metadata": {},
"source": [
"We begin by loading the [`mastectomy`](https://vincentarelbundock.github.io/Rdatasets/doc/HSAUR/mastectomy.html) dataset from the [`HSAUR`](https://cran.r-project.org/web/packages/HSAUR/index.html) R package."
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "ef44820d-0ecc-4d7b-ad22-c5d1074bad11",
"metadata": {},
"outputs": [],
"source": [
"df = get_rdataset(\"mastectomy\", package=\"HSAUR\", cache=True).data\n",
"df[\"metastized\"] = df[\"metastized\"] == \"yes\""
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "0898d09b-2002-412e-b8a1-66ee1c7003b3",
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
" time event metastized\n",
"0 23 True False\n",
"1 47 True False\n",
"2 69 True False\n",
"3 70 False False\n",
"4 100 False False"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.head()"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "47d50312-3d7c-412e-a49a-ee664fb46287",
"metadata": {},
"outputs": [
{
"data": {
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"text/plain": [
" time event metastized\n",
"39 162 False True\n",
"40 188 False True\n",
"41 212 False True\n",
"42 217 False True\n",
"43 225 False True"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
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],
"source": [
"df.tail()"
]
},
{
"cell_type": "markdown",
"id": "a4f6589f-341c-42b1-ab5b-48eda67594e5",
"metadata": {},
"source": [
"From the `HSAUR` [documentation](https://cran.r-project.org/web/packages/HSAUR/HSAUR.pdf), this dataset represents\n",
"\n",
"> [s]urvival times in months after mastectomy of women with breast cancer. The cancers are classified as having metastized or not based on a histochemical marker.\n",
"\n",
"In this data frame,\n",
"\n",
"* `time` is the number of months since mastectomy,\n",
"* `event` indicates whether the woman died at the corresponding `time` (if `True`) or the observation was [censored](https://en.wikipedia.org/wiki/Survival_analysis#:~:text=Censoring%20%2F%20Censored%20observation%3A%20Censoring%20occurs,after%20the%20time%20of%20censoring.) (if `False`). In the context of [survival analysis](https://en.wikipedia.org/wiki/Survival_analysis), censoring means that the woman survived past the corresponding time, but that her death was not observed. Censoring (and its counterpart [truncation](https://www.usu.edu/math/jrstevens/biostat/projects2013/pres_LeftTruncation.pdf)) represents a fundamental challenge in survival analysis, and\n",
"* `metastized` indicates whether the woman's cancer had [metastized](https://en.wikipedia.org/wiki/Metastasis).\n",
"\n",
"The following plot shows the time-to-event for each patient, along with whether or not the cancer had metastized and whether or not the patient's death was observed."
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "40b27a79-98b9-4e39-9309-ded66de33d3f",
"metadata": {},
"outputs": [],
"source": [
"MONTHS_LABEL = \"Months since mastectomy\""
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "b64d5aa3-1671-47ac-b82f-e1ca8b791b40",
"metadata": {},
"outputs": [
{
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\n",
"text/plain": [
"<seaborn._core.plot.Plot at 0x17c18c550>"
]
},
"execution_count": 10,
"metadata": {
"image/png": {
"height": 378.25,
"width": 595
}
},
"output_type": "execute_result"
}
],
"source": [
"sorted_df = df.sort_values(\"time\")\n",
"\n",
"(so.Plot(sorted_df, x=0, y=np.arange(sorted_df.shape[0]),\n",
" color=\"event\", linestyle=\"metastized\")\n",
" .add(so.Dash(), so.Shift(x=sorted_df[\"time\"] / 2), width=\"time\")\n",
" .scale(y=so.Continuous().tick(locator=NullLocator()),\n",
" color=so.Nominal(), linestyle=so.Nominal())\n",
" .limit(x=(0, None))\n",
" .label(x=MONTHS_LABEL, y=None,\n",
" color=str.capitalize, linestyle=str.capitalize))"
]
},
{
"cell_type": "markdown",
"id": "8d9b3908-9b1e-4886-9563-71e5ed1d0f3b",
"metadata": {},
"source": [
"We see that metastization is highly correlated with both short lifetime post-mastectomy and actual death. The following contingency table confirms this observation."
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "c902dca4-e29d-4a8f-a6dd-5259cb104449",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th>event</th>\n",
" <th>False</th>\n",
" <th>True</th>\n",
" <th>All</th>\n",
" </tr>\n",
" <tr>\n",
" <th>metastized</th>\n",
" <th></th>\n",
" <th></th>\n",
" <th></th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>False</th>\n",
" <td>7</td>\n",
" <td>5</td>\n",
" <td>12</td>\n",
" </tr>\n",
" <tr>\n",
" <th>True</th>\n",
" <td>11</td>\n",
" <td>21</td>\n",
" <td>32</td>\n",
" </tr>\n",
" <tr>\n",
" <th>All</th>\n",
" <td>18</td>\n",
" <td>26</td>\n",
" <td>44</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"</div>"
],
"text/plain": [
"event False True All\n",
"metastized \n",
"False 7 5 12\n",
"True 11 21 32\n",
"All 18 26 44"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"df.pivot_table(values=\"time\", index=\"metastized\", columns=\"event\",\n",
" aggfunc=np.size, margins=True)"
]
},
{
"cell_type": "markdown",
"id": "dbfdcd89-513b-4d18-877a-e17660a6aa82",
"metadata": {},
"source": [
"## An improved crash course in survival analysis\n",
"\n",
"When studying time-to-event data, especially in the presence of censoring (and/or truncation), [survival analysis](https://en.wikipedia.org/wiki/Survival_analysis) is the appropriate modeling framework. As indicated by the name, survival analysis focuses on estimating the [survival function](https://en.wikipedia.org/wiki/Survival_function). If $T$ is the time-to-event in question, the survival function is\n",
"\n",
"$$S(t) = \\mathbb{P}(T \\geq t).$$\n",
"\n",
"This focus on the survival function is important because for censored observations we only know that the time-to-event exceeds the recorded time. The naive approach of treating cesnored observations as if the event occured at the time of censoring risks systematically underestimating the true average survival time, as we will illustrate later in this post.\n",
"\n",
"Instead of working directly with the survival function, it is convenient to phrase our models in terms of the [cumulative hazard function](https://en.wikipedia.org/wiki/Survival_analysis#Hazard_function_and_cumulative_hazard_function).\n",
"\n",
"$$\\Lambda(t) = -\\log S(t).$$ From this definition we see that $\\Lambda(t) \\geq 0$, $\\Lambda(0) = 0$, and $\\Lambda$ is nondecreasing. Since we are working on a discrete timescale (we only know how many months the patient surived for, not exactly when they died or were censored), it is further convenient to decompose this cumulative hazard function into a sum of per-period hazards,\n",
"\n",
"$$\\Lambda(t) = \\sum_{s \\leq t} \\lambda(s).$$\n",
"\n",
"In the continuous-time case, this sum is replaced with an appropriate integral.\n",
"\n",
"### The Cox proportional hazards model\n",
"\n",
"With the cumulative hazard function decomposed as above, we can to introduce the [Cox proportional hazards model](https://en.wikipedia.org/wiki/Proportional_hazards_model#The_Cox_model). Given predictors $\\mathbf{x}$, this model treats $\\lambda(t)$ as a log linear model,\n",
"\n",
"$$\\log \\lambda(t\\ |\\ \\mathbf{x}) = \\alpha(t) + \\beta \\cdot \\mathbf{x}.$$ \n",
"\n",
"This model is often expressed as\n",
"\n",
"$$\\lambda(t\\ |\\ \\mathbf{x}) = \\lambda_0(t) \\cdot \\exp(\\beta \\cdot \\mathbf{x}),$$\n",
"\n",
"where $\\lambda_0(t) = \\exp(\\alpha(t)).$ This model has \"proportional hazards\" because, if $\\mathbb{y}$ is the predictors for another patient,\n",
"\n",
"$$\\frac{\\lambda(t\\ |\\ \\mathbf{x})}{\\lambda(t\\ |\\ \\mathbf{y})} = \\frac{\\lambda_0(t) \\cdot \\exp(\\beta \\cdot \\mathbf{x})}{\\lambda_0(t) \\cdot \\exp(\\beta \\cdot \\mathbf{y})} = \\exp(\\beta \\cdot (\\mathbf{x} - \\mathbf{y}))$$\n",
"\n",
"is independent of $t$."
]
},
{
"cell_type": "markdown",
"id": "be2dbf46-ae93-4c65-b624-74a7fa1acbfd",
"metadata": {},
"source": [
"## The Bayesian Cox model\n",
"\n",
"With the mathematical form of our model specified, we can begin to implement it in Python using PyMC. First we extract the relevant columns from the data frame. In our case,\n",
"\n",
"$$x_i = \\begin{cases}\n",
"0 & \\text{if the }i\\text{-th patient's cancer has not metastized} \\\\\n",
"1 & \\text{if the }i\\text{-th patient's cancer has metastized}\n",
"\\end{cases}.$$"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "d40a1476-d3e7-4bfa-bfbd-507285fde9e8",
"metadata": {},
"outputs": [],
"source": [
"t = df[\"time\"].values\n",
"event = df[\"event\"].values\n",
"x = df[\"metastized\"].values"
]
},
{
"cell_type": "markdown",
"id": "3e230164-7707-42eb-ab2f-6742f5dfce3d",
"metadata": {},
"source": [
"We place a [hierarchical normal prior](https://www.bayesrulesbook.com/chapter-16.html#hierarchical-building-16) on $\\alpha_t$ and a normal prior on $\\beta$."
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "7cb12d16-977e-4ba4-9c21-c3467da65ef0",
"metadata": {},
"outputs": [],
"source": [
"# the scale necessary to make a halfnormal distribution have unit variance\n",
"HALFNORMAL_SCALE = 1 / np.sqrt(1 - 2 / np.pi)"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "2b3e1ee5-f799-4667-9460-9581330fea79",
"metadata": {},
"outputs": [],
"source": [
"def noncentered_normal(name, *, dims, μ=None):\n",
" if μ is None:\n",
" μ = pm.Normal(f\"μ_{name}\", 0, 2.5)\n",
" \n",
" Δ = pm.Normal(f\"Δ_{name}\", 0, 1, dims=dims)\n",
" σ = pm.HalfNormal(f\"σ_{name}\", 2.5 * HALFNORMAL_SCALE)\n",
" \n",
" return pm.Deterministic(name, μ + Δ * σ, dims=dims)"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "a1e5474d-282c-4406-a618-eeba1cfb9490",
"metadata": {},
"outputs": [],
"source": [
"coords = {\"metastized\": np.array([False, True]), \"time\": np.arange(t.max() + 1)}"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "2b48d86f-5e68-4c3e-a8e8-e5f750b3eade",
"metadata": {},
"outputs": [],
"source": [
"with pm.Model(coords=coords) as model:\n",
" α = noncentered_normal(\"α\", dims=\"time\")\n",
" β = pm.Normal(\"β\", 0, 2.5)"
]
},
{
"cell_type": "markdown",
"id": "2dc0fa87-f46b-498e-8cde-fdc1bf4b37fe",
"metadata": {},
"source": [
"We then define $\\lambda(t) = \\exp(\\alpha(t) + \\beta \\cdot x).$"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "e722473c-342c-4754-88d2-0b80c0b2fe06",
"metadata": {},
"outputs": [],
"source": [
"with model:\n",
" λ = pt.exp(α[np.newaxis] + β * x[:, np.newaxis])"
]
},
{
"cell_type": "markdown",
"id": "d5c4baed-a8c7-47d1-be63-9c6dc7d9a736",
"metadata": {},
"source": [
"We could proceed by building\n",
"\n",
"$$S(t\\ |\\ x) = \\exp\\left(-\\sum_{s \\leq t} \\lambda(s\\ |\\ x)\\right),$$\n",
"\n",
"and using the fact that\n",
"\n",
"$$\\mathbb{P}(\\text{died at }t\\ |\\ x) = S(t + 1\\ |\\ x) - S(t\\ |\\ x)$$\n",
"\n",
"to tie the hazard function we have specified to our observations. A simpler approach uses a classic result ([reference](https://grodri.github.io/glms/notes/c7.pdf) see §7.4.3) from the early 1980s, which is that this model is equivalent to the following [Poisson regression](https://en.wikipedia.org/wiki/Poisson_regression) model.\n",
"\n",
"Let\n",
"\n",
"$$d_{i, t} = \\begin{cases}\n",
"1 & \\text{if the }i\\text{-th patient died in period }t \\\\\n",
"0 & \\text{otherwise}\n",
"\\end{cases}$$\n",
"\n",
"indicate if the patient in question died in the $t$-th period and\n",
"\n",
"$$e_{i, t} = \\begin{cases}\n",
"1 & \\text{if the }i\\text{-th patient was alive at the beginning of period }t \\\\\n",
"0 & \\text{otherwise}\n",
"\\end{cases}$$\n",
"\n",
"indicate if the patient was alive (exposed) at the beginning of the $t$-th period. The Cox model is equivalent to a Poisson model for $d_{i, t}$ with mean $e_{i, t} \\cdot \\lambda(t\\ |\\ x_i).$\n",
"\n",
"We now construct the arrays measuring exposure and indicating death."
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "9c6eb704-9d81-4301-8c48-63d2ab00397a",
"metadata": {},
"outputs": [],
"source": [
"exposed = np.full((df.shape[0], t.max() + 1), True, dtype=np.bool_)\n",
"np.put_along_axis(exposed, t[:, np.newaxis], False, axis=1)\n",
"exposed = np.minimum.accumulate(exposed, axis=1)"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "c9ed158d-2176-4d77-80a9-5a88a9b26092",
"metadata": {},
"outputs": [],
"source": [
"event_ = np.full_like(exposed, False, dtype=np.bool_)\n",
"np.put_along_axis(event_, t[:, np.newaxis] - 1, event[:, np.newaxis], axis=1)"
]
},
{
"cell_type": "markdown",
"id": "f6cd86b3-8c6d-4a0b-b805-f343264bc06d",
"metadata": {},
"source": [
"We now add the observed Poisson-distributed event indicator to the model."
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "21483d3f-5289-49ce-9bf7-5288de703ab1",
"metadata": {},
"outputs": [],
"source": [
"with model:\n",
" pm.Poisson(\"event\", exposed * λ, observed=event_)"
]
},
{
"cell_type": "markdown",
"id": "c36b8b5f-5286-4a72-be5d-8f911488f720",
"metadata": {},
"source": [
"Before we sample from the model's posterior distribution, we define a series of quantities that will allow us to easily visualize the posterior predictive survival functions for patients whose cancer had or had not metastized. We do not use PyMC's built-in [posterior predictive sampling method](https://www.pymc.io/projects/docs/en/latest/api/generated/pymc.sample_posterior_predictive.html) here due to the way we constructed the observed variable using the equivalent Poisson model. Adding these auxiliary quantities is more straightforward in this case."
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "b0200700-6dbf-486f-bd0a-c976103b902a",
"metadata": {},
"outputs": [],
"source": [
"with model:\n",
" λ_pred = pt.exp(α[np.newaxis] + β * np.array([[0, 1]]).T)\n",
" Λ_pred = λ_pred.cumsum(axis=1)\n",
" sf_pred = pm.Deterministic(\"sf_pred\", pt.exp(-Λ_pred), dims=(\"metastized\", \"time\"))"
]
},
{
"cell_type": "markdown",
"id": "8f4443c9-d5e8-4a3f-8c65-98f450950403",
"metadata": {},
"source": [
"Now we are ready to use nutpie to sample from the model's posterior distribution."
]
},
{
"cell_type": "code",
"execution_count": 22,
"id": "c6b8eb1a-f526-412f-aa29-151d62bb1b77",
"metadata": {},
"outputs": [],
"source": [
"SEED = 123456789"
]
},
{
"cell_type": "code",
"execution_count": 23,
"id": "66ef9909-74c7-4631-b66a-339142ded9ff",
"metadata": {},
"outputs": [
{
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" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
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{
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"id": "255f74b1-a41e-499e-a4af-cfb1f82c2b29",
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"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
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" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: ()\n",
"Data variables:\n",
" μ_α float64 1.003\n",
" Δ_α float64 1.005\n",
" σ_α_log__ float64 1.001\n",
" β float64 1.002\n",
" σ_α float64 1.001\n",
" α float64 1.003\n",
" sf_pred float64 1.003</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-342afd32-d41d-4d85-9a02-1ad45aafd648' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-342afd32-d41d-4d85-9a02-1ad45aafd648' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-40b0cdc7-3759-4a0e-95db-fa3e88efb86f' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-40b0cdc7-3759-4a0e-95db-fa3e88efb86f' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-4d83c571-1af6-418e-bf7c-92202ffc7f2c' class='xr-section-summary-in' type='checkbox' checked><label for='section-4d83c571-1af6-418e-bf7c-92202ffc7f2c' class='xr-section-summary' >Data variables: <span>(7)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>μ_α</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.003</div><input id='attrs-773a1cd9-e0c3-44fc-9d06-444ab0fc2826' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-773a1cd9-e0c3-44fc-9d06-444ab0fc2826' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-5526cc67-1402-4b22-935a-386c1a92789a' class='xr-var-data-in' type='checkbox'><label for='data-5526cc67-1402-4b22-935a-386c1a92789a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00301772)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Δ_α</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.005</div><input id='attrs-a0aa5c28-97f2-4634-a8db-3388b26adcf4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a0aa5c28-97f2-4634-a8db-3388b26adcf4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-300279a1-5619-4919-803d-49f4368c9c94' class='xr-var-data-in' type='checkbox'><label for='data-300279a1-5619-4919-803d-49f4368c9c94' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.0051766)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>σ_α_log__</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.001</div><input id='attrs-4dd0b257-75bc-41a6-a27d-c9877477eb57' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-4dd0b257-75bc-41a6-a27d-c9877477eb57' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e5c691a-e870-480b-b604-ff014b1c7a0a' class='xr-var-data-in' type='checkbox'><label for='data-2e5c691a-e870-480b-b604-ff014b1c7a0a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00129908)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>β</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.002</div><input id='attrs-de6ab926-8e28-4353-80cc-5934bcf6fc38' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-de6ab926-8e28-4353-80cc-5934bcf6fc38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2a0033a8-7ca7-494e-a750-551656a64cc2' class='xr-var-data-in' type='checkbox'><label for='data-2a0033a8-7ca7-494e-a750-551656a64cc2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00244318)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>σ_α</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.001</div><input id='attrs-b8b1101f-b1ec-4479-9403-bbb17d362cab' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-b8b1101f-b1ec-4479-9403-bbb17d362cab' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-eb75d39b-5d0c-4b2c-8423-c0c24de944c2' class='xr-var-data-in' type='checkbox'><label for='data-eb75d39b-5d0c-4b2c-8423-c0c24de944c2' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00138095)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>α</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.003</div><input id='attrs-bab333b8-771b-4388-bbb0-003a8aa7efd1' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-bab333b8-771b-4388-bbb0-003a8aa7efd1' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1ad6f531-7246-4c8d-b1ae-4c3d35935a7f' class='xr-var-data-in' type='checkbox'><label for='data-1ad6f531-7246-4c8d-b1ae-4c3d35935a7f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.0031372)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sf_pred</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.003</div><input id='attrs-93917c35-a1af-4674-ae76-420bc5449538' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-93917c35-a1af-4674-ae76-420bc5449538' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-9fbb8ca9-b834-46b8-8645-d4c215bf6f21' class='xr-var-data-in' type='checkbox'><label for='data-9fbb8ca9-b834-46b8-8645-d4c215bf6f21' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00296706)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-4f5b6736-200d-49b6-8a88-f62189f67150' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4f5b6736-200d-49b6-8a88-f62189f67150' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-de28f8da-92cb-4b86-a617-aca5b6e8a118' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-de28f8da-92cb-4b86-a617-aca5b6e8a118' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: ()\n",
"Data variables:\n",
" μ_α float64 1.003\n",
" Δ_α float64 1.005\n",
" σ_α_log__ float64 1.001\n",
" β float64 1.002\n",
" σ_α float64 1.001\n",
" α float64 1.003\n",
" sf_pred float64 1.003"
]
},
"execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"az.rhat(trace).max()"
]
},
{
"cell_type": "markdown",
"id": "a42397e3-3a07-417f-a045-6bd7b8224730",
"metadata": {},
"source": [
"All of the $\\hat{R}$ statistics are below 1.01, so we see no obvious issues with sampling.\n",
"\n",
"We now use seaborn to visualize the posterior predictive survival functions for patients in either state of metastization."
]
},
{
"cell_type": "code",
"execution_count": 25,
"id": "b1be4b24-44bb-4895-90d1-62e4c2989622",
"metadata": {},
"outputs": [],
"source": [
"ALPHA = 0.05\n",
"\n",
"so_ci = so.Perc([100 * ALPHA / 2, 100 * (1 - ALPHA / 2)])"
]
},
{
"cell_type": "code",
"execution_count": 26,
"id": "13b66faf-1580-4f6b-8dfd-613c71a7862c",
"metadata": {},
"outputs": [],
"source": [
"PP_SF_LABEL = \"Posterior predictive\\nsurvival function\""
]
},
{
"cell_type": "code",
"execution_count": 27,
"id": "d6e6d4a9-dc93-4ac5-890e-12442c2b5b22",
"metadata": {},
"outputs": [
{
"data": {
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\n",
"text/plain": [
"<seaborn._core.plot.Plot at 0x17daf2e60>"
]
},
"execution_count": 27,
"metadata": {
"image/png": {
"height": 378.25,
"width": 595
}
},
"output_type": "execute_result"
}
],
"source": [
"(so.Plot(trace.posterior[\"sf_pred\"].to_dataframe(),\n",
" x=\"time\", y=\"sf_pred\", color=\"metastized\")\n",
" .add(so.Line(), so.Agg())\n",
" .add(so.Band(), so_ci)\n",
" .scale(color=so.Nominal())\n",
" .limit(x=(0, t.max()), y=(0, 1))\n",
" .label(x=MONTHS_LABEL, y=PP_SF_LABEL, color=str.capitalize))"
]
},
{
"cell_type": "markdown",
"id": "b2170108-b8fa-441d-9715-04b915657282",
"metadata": {},
"source": [
"These posterior predictive survival functions look plausible; to confirm their correctness we compare them to predictions from Cox models fit using the [lifetimes](https://lifelines.readthedocs.io/en/latest/) package."
]
},
{
"cell_type": "code",
"execution_count": 28,
"id": "213b505c-4a9b-4fce-a779-7cfdc0a7ead2",
"metadata": {},
"outputs": [],
"source": [
"ll_model = ll.CoxPHFitter().fit(df, duration_col=\"time\", event_col=\"event\")"
]
},
{
"cell_type": "code",
"execution_count": 29,
"id": "19e17da9-1dc4-484b-8927-2be1b8c57e7d",
"metadata": {},
"outputs": [],
"source": [
"pred_df = pd.merge(\n",
" trace.posterior[\"sf_pred\"].to_dataframe(),\n",
" ll_model.predict_survival_function(np.array([[False, True]]).T, times=np.arange(t.max() + 1))\n",
" .rename(columns=bool)\n",
" .rename_axis(\"time\", axis=0)\n",
" .rename_axis(\"metastized\", axis=1)\n",
" .stack()\n",
" .rename(\"ll_pred\"),\n",
" left_index=True, right_index=True\n",
")"
]
},
{
"cell_type": "markdown",
"id": "3c4c0094-0785-4b9b-a940-f9dea3268197",
"metadata": {},
"source": [
"The following plot adds the predictions from lifetimes to the posterior predictions from our model."
]
},
{
"cell_type": "code",
"execution_count": 30,
"id": "ddca90f7-c165-4145-81bc-5d04c18dd2b0",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<seaborn._core.plot.Plot at 0x17e9f21a0>"
]
},
"execution_count": 30,
"metadata": {
"image/png": {
"height": 378.25,
"width": 595
}
},
"output_type": "execute_result"
}
],
"source": [
"(so.Plot(pred_df,\n",
" x=\"time\", y=\"sf_pred\", color=\"metastized\")\n",
" .add(so.Line(), so.Agg())\n",
" .add(so.Band(), so_ci)\n",
" .add(so.Line(linestyle=\"--\"), so.Agg(func=lambda x: x[0]),\n",
" y=\"ll_pred\")\n",
" .scale(color=so.Nominal())\n",
" .limit(x=(0, t.max()), y=(0, 1))\n",
" .label(x=MONTHS_LABEL, y=PP_SF_LABEL, color=str.capitalize))"
]
},
{
"cell_type": "markdown",
"id": "23f2a666-0c20-4415-a81f-81af6b60888b",
"metadata": {},
"source": [
"The predictions are reasonably close (our Bayesian predictions are naturally more regularized towards the population mean than lifetimes'), which is reassuring.\n",
"\n",
"We now return to a point briefly mentioned above, that naively estimating average lifetimes by ignoring censoring significantly underestimates the true average lifetime. First we use the [helpful fact](https://en.wikipedia.org/wiki/Survival_function#Properties) that\n",
"\n",
"$$\\mathbb{E}(T) = \\sum_t S(t)$$\n",
"\n",
"to calculate the posterior expected lifetime."
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "f4e60b69-93ba-4417-b8ba-0e5e992a06f0",
"metadata": {},
"outputs": [],
"source": [
"post_exp_life = trace.posterior[\"sf_pred\"].sum(dim=\"time\")"
]
},
{
"cell_type": "markdown",
"id": "b8da9cd7-bf98-4446-816c-f0e6d2e1fe8d",
"metadata": {},
"source": [
"Now we naively estimate the expected lifetime two different ways. First we take the average lifetime ignoring censoring (grouped according to metastization)."
]
},
{
"cell_type": "code",
"execution_count": 32,
"id": "6cc3ffd9-222e-4911-a887-0a170b1c5833",
"metadata": {},
"outputs": [],
"source": [
"naive_life_df = (df.groupby(\"metastized\")\n",
" [\"time\"]\n",
" .mean()\n",
" .rename(\"naive\"))"
]
},
{
"cell_type": "markdown",
"id": "0219ad72-8323-489f-9d1f-64d1f1f376e4",
"metadata": {},
"source": [
"Second we take the average lifetime of patients that did, in fact, die (grouped according to metastization)."
]
},
{
"cell_type": "code",
"execution_count": 33,
"id": "ec4657a6-bf82-47af-9665-a3ae3a243f51",
"metadata": {},
"outputs": [],
"source": [
"naive_event_life_df = (df[df[\"event\"]]\n",
" .groupby(\"metastized\")\n",
" [\"time\"]\n",
" .mean()\n",
" .rename(\"naive_event\"))"
]
},
{
"cell_type": "code",
"execution_count": 34,
"id": "eaa4fcb9-bb69-441f-a77f-c36e62cc002e",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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"text/plain": [
"<seaborn._core.plot.Plot at 0x17e93edd0>"
]
},
"execution_count": 34,
"metadata": {
"image/png": {
"height": 378.25,
"width": 595
}
},
"output_type": "execute_result"
}
],
"source": [
"HEIGHT = 0.015\n",
"\n",
"(so.Plot(post_exp_life.to_dataframe()\n",
" .join(naive_life_df)\n",
" .join(naive_event_life_df),\n",
" x=\"sf_pred\", color=\"metastized\")\n",
" .add(so.Area(), so.KDE())\n",
" .add(so.Dash(width=HEIGHT, linestyle=(0, (5, 5))),\n",
" x=\"naive\", y=HEIGHT / 2, orient=\"y\")\n",
" .add(so.Dash(width=HEIGHT, linestyle=(0, (0.25, 5))),\n",
" x=\"naive_event\", y=HEIGHT / 2, orient=\"y\")\n",
" .scale(y=so.Continuous().tick(locator=NullLocator()),\n",
" color=so.Nominal())\n",
" .limit(y=(0, HEIGHT))\n",
" .label(x=MONTHS_LABEL, title=\"Posterior expected lifetime\",\n",
" color=str.capitalize))"
]
},
{
"cell_type": "markdown",
"id": "b59c1dc0-ff9c-417a-9554-f3a6780441ed",
"metadata": {},
"source": [
"The first naive estimate is shown by the dashed horizontal lines and the second naive estimate is shown by the dotted lines. (I am still learning my way around [seaborn's objects interface](https://seaborn.pydata.org/tutorial/objects_interface.html) and haven't figured out how to annotate those linestyles properly yet.)\n",
"\n",
"We see that these estimates are significantly lower than the posterior expected lifetimes."
]
},
{
"cell_type": "markdown",
"id": "7a315f47-aa0d-474d-8ac9-778119027873",
"metadata": {},
"source": [
"### Extensions of the Bayesian Cox model\n",
"\n",
"There are many extensions of the Cox model that allow deviation from the proportional hazards assumption. Two standard extensions are time-varying features and/or time-varying coefficients. In this post we will build a model with time-varying coefficients, although our model is equally straightforward to modify to accommodate time-varying features. To see that such a model no longer has proportional hazards, note that when $\\beta(t)$ is a function if time,\n",
"\n",
"$$\\frac{\\lambda(t\\ |\\ \\mathbf{x})}{\\lambda(t\\ |\\ \\mathbf{y})} = \\frac{\\lambda_0(t) \\cdot \\exp(\\beta(t) \\cdot \\mathbf{x})}{\\lambda_0(t) \\cdot \\exp(\\beta(t) \\cdot \\mathbf{y})} = \\exp(\\beta(t) \\cdot (\\mathbf{x} - \\mathbf{y}),)$$\n",
"\n",
"which still depends on $t$. In the our case, time-varying effects might correspond to the hypothesis that metastization causes most patients to die quickly, but those patients whose that live longer have diminished extra risk due to metastization.\n",
"\n",
"Thanks to the modularity of PyMC, it is easy to modify our model to include time-varying coefficients. We place a random-walk prior with appropriately scaled hierarchical normal increments on $\\beta(t)$."
]
},
{
"cell_type": "code",
"execution_count": 35,
"id": "46cf094a-fd3e-45a3-b2f3-822b85df62ab",
"metadata": {},
"outputs": [],
"source": [
"with pm.Model(coords=coords) as tv_model:\n",
" μ_β = pm.Normal(\"μ_β\", 0, 2.5)\n",
" β_inc = noncentered_normal(\"β_inc\", μ=0, dims=\"time\")\n",
" β = pm.Deterministic(\"β\", μ_β + (β_inc / np.sqrt(t.max() + 1)).cumsum(axis=0),\n",
" dims=\"time\")"
]
},
{
"cell_type": "markdown",
"id": "64e1cc5e-dba9-4747-91f2-879b10c9e97e",
"metadata": {},
"source": [
"The rest of the model is specified almost exactly as before."
]
},
{
"cell_type": "code",
"execution_count": 36,
"id": "8286d1e5-c7df-42e2-968a-3e47bcbe9b08",
"metadata": {},
"outputs": [],
"source": [
"with tv_model:\n",
" α = noncentered_normal(\"α\", dims=\"time\")\n",
" \n",
" λ = pt.exp(α[np.newaxis] + β[np.newaxis] * x[:, np.newaxis])\n",
" pm.Poisson(\"event\", exposed * λ, observed=event_)\n",
" \n",
" λ_pred = pt.exp(α[np.newaxis] + β * np.array([[0, 1]]).T)\n",
" Λ_pred = λ_pred.cumsum(axis=1)\n",
" sf_pred = pm.Deterministic(\"sf_pred\", pt.exp(-Λ_pred), dims=(\"metastized\", \"time\"))"
]
},
{
"cell_type": "markdown",
"id": "0300f416-0a21-4c9b-9b47-1cfb4cc6c722",
"metadata": {},
"source": [
"We now sample from this model's posterior distribution."
]
},
{
"cell_type": "code",
"execution_count": 37,
"id": "5bb9e777-0451-4a31-9177-408185a751ae",
"metadata": {},
"outputs": [
{
"data": {
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"\n",
"<style>\n",
" /* Turns off some styling */\n",
" progress {\n",
" /* gets rid of default border in Firefox and Opera. */\n",
" border: none;\n",
" /* Needs to be in here for Safari polyfill so background images work as expected. */\n",
" background-size: auto;\n",
" }\n",
" progress:not([value]), progress:not([value])::-webkit-progress-bar {\n",
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{
"data": {
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" 100.00% [7800/7800 00:10&lt;00:00 Chains in warmup: 0, Divergences: 29]\n",
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"metadata": {},
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],
"source": [
"tv_trace = nutpie.sample(\n",
" nutpie.compile_pymc_model(tv_model),\n",
" seed=SEED\n",
")"
]
},
{
"cell_type": "markdown",
"id": "986c5a23-6a0e-431e-9bf1-a928165a8f60",
"metadata": {},
"source": [
"There are a few more divergences, but they have not yet reached concerning levels. The Gelman-Rubin $\\hat{R}$ statistics also indicate no obvious sampling issues."
]
},
{
"cell_type": "code",
"execution_count": 38,
"id": "a10cd89f-24ba-429d-bb10-218b59317c4f",
"metadata": {},
"outputs": [
{
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"</defs>\n",
"</svg>\n",
"<style>/* CSS stylesheet for displaying xarray objects in jupyterlab.\n",
" *\n",
" */\n",
"\n",
":root {\n",
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"\n",
".xr-wrap {\n",
" display: block !important;\n",
" min-width: 300px;\n",
" max-width: 700px;\n",
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"\n",
".xr-header {\n",
" padding-top: 6px;\n",
" padding-bottom: 6px;\n",
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"\n",
".xr-header > div,\n",
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" display: inline;\n",
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"\n",
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" margin-left: 2px;\n",
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"\n",
".xr-obj-type {\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-sections {\n",
" padding-left: 0 !important;\n",
" display: grid;\n",
" grid-template-columns: 150px auto auto 1fr 20px 20px;\n",
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"\n",
".xr-section-item {\n",
" display: contents;\n",
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"\n",
".xr-section-item input {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-item input + label {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-item input:enabled + label {\n",
" cursor: pointer;\n",
" color: var(--xr-font-color2);\n",
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"\n",
".xr-section-item input:enabled + label:hover {\n",
" color: var(--xr-font-color0);\n",
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"\n",
".xr-section-summary {\n",
" grid-column: 1;\n",
" color: var(--xr-font-color2);\n",
" font-weight: 500;\n",
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"\n",
".xr-section-summary > span {\n",
" display: inline-block;\n",
" padding-left: 0.5em;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label {\n",
" color: var(--xr-font-color2);\n",
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".xr-section-summary-in + label:before {\n",
" display: inline-block;\n",
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" font-size: 11px;\n",
" width: 15px;\n",
" text-align: center;\n",
"}\n",
"\n",
".xr-section-summary-in:disabled + label:before {\n",
" color: var(--xr-disabled-color);\n",
"}\n",
"\n",
".xr-section-summary-in:checked + label:before {\n",
" content: '▼';\n",
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"\n",
".xr-section-summary-in:checked + label > span {\n",
" display: none;\n",
"}\n",
"\n",
".xr-section-summary,\n",
".xr-section-inline-details {\n",
" padding-top: 4px;\n",
" padding-bottom: 4px;\n",
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"\n",
".xr-section-inline-details {\n",
" grid-column: 2 / -1;\n",
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"\n",
".xr-section-details {\n",
" display: none;\n",
" grid-column: 1 / -1;\n",
" margin-bottom: 5px;\n",
"}\n",
"\n",
".xr-section-summary-in:checked ~ .xr-section-details {\n",
" display: contents;\n",
"}\n",
"\n",
".xr-array-wrap {\n",
" grid-column: 1 / -1;\n",
" display: grid;\n",
" grid-template-columns: 20px auto;\n",
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"\n",
".xr-array-wrap > label {\n",
" grid-column: 1;\n",
" vertical-align: top;\n",
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"\n",
".xr-preview {\n",
" color: var(--xr-font-color3);\n",
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"\n",
".xr-array-preview,\n",
".xr-array-data {\n",
" padding: 0 5px !important;\n",
" grid-column: 2;\n",
"}\n",
"\n",
".xr-array-data,\n",
".xr-array-in:checked ~ .xr-array-preview {\n",
" display: none;\n",
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"\n",
".xr-array-in:checked ~ .xr-array-data,\n",
".xr-array-preview {\n",
" display: inline-block;\n",
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"\n",
".xr-dim-list {\n",
" display: inline-block !important;\n",
" list-style: none;\n",
" padding: 0 !important;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list li {\n",
" display: inline-block;\n",
" padding: 0;\n",
" margin: 0;\n",
"}\n",
"\n",
".xr-dim-list:before {\n",
" content: '(';\n",
"}\n",
"\n",
".xr-dim-list:after {\n",
" content: ')';\n",
"}\n",
"\n",
".xr-dim-list li:not(:last-child):after {\n",
" content: ',';\n",
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"\n",
".xr-has-index {\n",
" font-weight: bold;\n",
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"\n",
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" display: contents;\n",
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"\n",
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".xr-var-item > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-even);\n",
" margin-bottom: 0;\n",
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"\n",
".xr-var-item > .xr-var-name:hover span {\n",
" padding-right: 5px;\n",
"}\n",
"\n",
".xr-var-list > li:nth-child(odd) > div,\n",
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".xr-var-list > li:nth-child(odd) > .xr-var-name span {\n",
" background-color: var(--xr-background-color-row-odd);\n",
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"\n",
".xr-var-name {\n",
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"\n",
".xr-var-dims {\n",
" grid-column: 2;\n",
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"\n",
".xr-var-dtype {\n",
" grid-column: 3;\n",
" text-align: right;\n",
" color: var(--xr-font-color2);\n",
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"\n",
".xr-var-preview {\n",
" grid-column: 4;\n",
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"\n",
".xr-index-preview {\n",
" grid-column: 2 / 5;\n",
" color: var(--xr-font-color2);\n",
"}\n",
"\n",
".xr-var-name,\n",
".xr-var-dims,\n",
".xr-var-dtype,\n",
".xr-preview,\n",
".xr-attrs dt {\n",
" white-space: nowrap;\n",
" overflow: hidden;\n",
" text-overflow: ellipsis;\n",
" padding-right: 10px;\n",
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"\n",
".xr-var-name:hover,\n",
".xr-var-dims:hover,\n",
".xr-var-dtype:hover,\n",
".xr-attrs dt:hover {\n",
" overflow: visible;\n",
" width: auto;\n",
" z-index: 1;\n",
"}\n",
"\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" display: none;\n",
" background-color: var(--xr-background-color) !important;\n",
" padding-bottom: 5px !important;\n",
"}\n",
"\n",
".xr-var-attrs-in:checked ~ .xr-var-attrs,\n",
".xr-var-data-in:checked ~ .xr-var-data,\n",
".xr-index-data-in:checked ~ .xr-index-data {\n",
" display: block;\n",
"}\n",
"\n",
".xr-var-data > table {\n",
" float: right;\n",
"}\n",
"\n",
".xr-var-name span,\n",
".xr-var-data,\n",
".xr-index-name div,\n",
".xr-index-data,\n",
".xr-attrs {\n",
" padding-left: 25px !important;\n",
"}\n",
"\n",
".xr-attrs,\n",
".xr-var-attrs,\n",
".xr-var-data,\n",
".xr-index-data {\n",
" grid-column: 1 / -1;\n",
"}\n",
"\n",
"dl.xr-attrs {\n",
" padding: 0;\n",
" margin: 0;\n",
" display: grid;\n",
" grid-template-columns: 125px auto;\n",
"}\n",
"\n",
".xr-attrs dt,\n",
".xr-attrs dd {\n",
" padding: 0;\n",
" margin: 0;\n",
" float: left;\n",
" padding-right: 10px;\n",
" width: auto;\n",
"}\n",
"\n",
".xr-attrs dt {\n",
" font-weight: normal;\n",
" grid-column: 1;\n",
"}\n",
"\n",
".xr-attrs dt:hover span {\n",
" display: inline-block;\n",
" background: var(--xr-background-color);\n",
" padding-right: 10px;\n",
"}\n",
"\n",
".xr-attrs dd {\n",
" grid-column: 2;\n",
" white-space: pre-wrap;\n",
" word-break: break-all;\n",
"}\n",
"\n",
".xr-icon-database,\n",
".xr-icon-file-text2,\n",
".xr-no-icon {\n",
" display: inline-block;\n",
" vertical-align: middle;\n",
" width: 1em;\n",
" height: 1.5em !important;\n",
" stroke-width: 0;\n",
" stroke: currentColor;\n",
" fill: currentColor;\n",
"}\n",
"</style><pre class='xr-text-repr-fallback'>&lt;xarray.Dataset&gt;\n",
"Dimensions: ()\n",
"Data variables:\n",
" μ_β float64 1.005\n",
" Δ_β_inc float64 1.004\n",
" σ_β_inc_log__ float64 1.004\n",
" μ_α float64 1.003\n",
" Δ_α float64 1.004\n",
" σ_α_log__ float64 1.003\n",
" σ_β_inc float64 1.004\n",
" σ_α float64 1.003\n",
" β_inc float64 1.006\n",
" β float64 1.005\n",
" α float64 1.003\n",
" sf_pred float64 1.002</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.Dataset</div></div><ul class='xr-sections'><li class='xr-section-item'><input id='section-4b1fb8ac-aefe-438d-bc1b-60263219ed55' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-4b1fb8ac-aefe-438d-bc1b-60263219ed55' class='xr-section-summary' title='Expand/collapse section'>Dimensions:</label><div class='xr-section-inline-details'></div><div class='xr-section-details'></div></li><li class='xr-section-item'><input id='section-d20d7aa8-8381-48e0-800d-272ec7965d56' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-d20d7aa8-8381-48e0-800d-272ec7965d56' class='xr-section-summary' title='Expand/collapse section'>Coordinates: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-03182e8c-53c2-4a0b-8998-04442b9b963c' class='xr-section-summary-in' type='checkbox' checked><label for='section-03182e8c-53c2-4a0b-8998-04442b9b963c' class='xr-section-summary' >Data variables: <span>(12)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span>μ_β</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.005</div><input id='attrs-d5cbb75a-88e0-47e7-88a4-67a939f77da4' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-d5cbb75a-88e0-47e7-88a4-67a939f77da4' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b03ca96d-447c-4714-9694-cb80c670692f' class='xr-var-data-in' type='checkbox'><label for='data-b03ca96d-447c-4714-9694-cb80c670692f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00496988)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Δ_β_inc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.004</div><input id='attrs-7f0eb423-fa03-4876-ab90-4771f2f61242' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7f0eb423-fa03-4876-ab90-4771f2f61242' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2361146a-467a-49b7-88a1-f31631727572' class='xr-var-data-in' type='checkbox'><label for='data-2361146a-467a-49b7-88a1-f31631727572' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00428256)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>σ_β_inc_log__</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.004</div><input id='attrs-38fc8ef1-d912-4438-8edf-7fd9fa302c20' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-38fc8ef1-d912-4438-8edf-7fd9fa302c20' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-b30385f2-1f81-4654-9f60-a9a8c362d73a' class='xr-var-data-in' type='checkbox'><label for='data-b30385f2-1f81-4654-9f60-a9a8c362d73a' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00404592)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>μ_α</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.003</div><input id='attrs-35694bb0-ca00-4448-b30e-a8b67a1f3df2' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-35694bb0-ca00-4448-b30e-a8b67a1f3df2' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2788e41f-7678-4575-a32c-6ec216d2b25f' class='xr-var-data-in' type='checkbox'><label for='data-2788e41f-7678-4575-a32c-6ec216d2b25f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00262781)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>Δ_α</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.004</div><input id='attrs-c411a3fd-7b7f-4e8c-8500-1e910cd916ec' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-c411a3fd-7b7f-4e8c-8500-1e910cd916ec' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1dd4849e-d295-4f92-ba00-e37a05c12f78' class='xr-var-data-in' type='checkbox'><label for='data-1dd4849e-d295-4f92-ba00-e37a05c12f78' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00388661)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>σ_α_log__</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.003</div><input id='attrs-79ad2af6-62d3-4891-af3f-5d9afd77b510' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-79ad2af6-62d3-4891-af3f-5d9afd77b510' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-304df27d-71ee-4656-9cf2-e46bdc732697' class='xr-var-data-in' type='checkbox'><label for='data-304df27d-71ee-4656-9cf2-e46bdc732697' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00272307)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>σ_β_inc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.004</div><input id='attrs-a37c22ab-601d-495e-b010-a903b1430aed' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a37c22ab-601d-495e-b010-a903b1430aed' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-463dbdfb-b79e-4fd6-a601-ab59c0ba6ecc' class='xr-var-data-in' type='checkbox'><label for='data-463dbdfb-b79e-4fd6-a601-ab59c0ba6ecc' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00404592)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>σ_α</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.003</div><input id='attrs-af39d635-fcf3-4926-a87d-4dadfe9627c9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-af39d635-fcf3-4926-a87d-4dadfe9627c9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0434dac4-6f2a-4959-921f-842928bf3986' class='xr-var-data-in' type='checkbox'><label for='data-0434dac4-6f2a-4959-921f-842928bf3986' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00272307)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>β_inc</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.006</div><input id='attrs-acb41419-518e-4919-959e-450bf9df92bb' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-acb41419-518e-4919-959e-450bf9df92bb' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-30f38df9-ad84-41ee-964d-f570cfeaf89b' class='xr-var-data-in' type='checkbox'><label for='data-30f38df9-ad84-41ee-964d-f570cfeaf89b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00628254)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>β</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.005</div><input id='attrs-a41eb4d2-eade-4eb9-811f-b1d58920c76a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-a41eb4d2-eade-4eb9-811f-b1d58920c76a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-2e43c613-3d83-4d1f-841b-7f754b90089e' class='xr-var-data-in' type='checkbox'><label for='data-2e43c613-3d83-4d1f-841b-7f754b90089e' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00506765)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>α</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.003</div><input id='attrs-030de1c7-ecd3-44f5-801f-890a9f8413a9' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-030de1c7-ecd3-44f5-801f-890a9f8413a9' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-54c5b9b3-b55f-4548-a1e4-b028a6fa4372' class='xr-var-data-in' type='checkbox'><label for='data-54c5b9b3-b55f-4548-a1e4-b028a6fa4372' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00337097)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>sf_pred</span></div><div class='xr-var-dims'>()</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>1.002</div><input id='attrs-e223ecd9-7f68-4bac-9dd2-526d94e50f7f' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e223ecd9-7f68-4bac-9dd2-526d94e50f7f' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-44c2354d-b9ed-4ee3-a40e-c09fba29739f' class='xr-var-data-in' type='checkbox'><label for='data-44c2354d-b9ed-4ee3-a40e-c09fba29739f' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array(1.00229053)</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-ddca161b-71e0-479f-b1e3-0eaaafbef64b' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-ddca161b-71e0-479f-b1e3-0eaaafbef64b' class='xr-section-summary' title='Expand/collapse section'>Indexes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'></ul></div></li><li class='xr-section-item'><input id='section-1a6d96b5-cc92-4845-a9bd-2e7202d43560' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-1a6d96b5-cc92-4845-a9bd-2e7202d43560' class='xr-section-summary' title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
],
"text/plain": [
"<xarray.Dataset>\n",
"Dimensions: ()\n",
"Data variables:\n",
" μ_β float64 1.005\n",
" Δ_β_inc float64 1.004\n",
" σ_β_inc_log__ float64 1.004\n",
" μ_α float64 1.003\n",
" Δ_α float64 1.004\n",
" σ_α_log__ float64 1.003\n",
" σ_β_inc float64 1.004\n",
" σ_α float64 1.003\n",
" β_inc float64 1.006\n",
" β float64 1.005\n",
" α float64 1.003\n",
" sf_pred float64 1.002"
]
},
"execution_count": 38,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"az.rhat(tv_trace).max()"
]
},
{
"cell_type": "markdown",
"id": "1048b110-1295-4b40-81cd-7639232da563",
"metadata": {},
"source": [
"The following plot of $\\beta(t)$ somewhat bears out our hypothesis, as the additional hazard due to metastization decreases somewhat over time (the credible interval is quite wide though)."
]
},
{
"cell_type": "code",
"execution_count": 39,
"id": "5ae12115-8c98-4670-8d9f-549325cb9b20",
"metadata": {},
"outputs": [
{
"data": {
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iSvaXpJ9++qlc/wViTV36lFR21HBmZqaefvppLVmyRD///LMsy1K7du00aNAgjR49usJF2+lTiEdnnnmmzjzzzGrbffvttyooKJBUPLpK4rMK8YfgCjFnz549kor/AtCiRYsq22ZmZmrLli3hfYCm6vvvv5ckrV+/XqNGjSqzbd++fVqyZImWLFmi4cOH64EHHgj/AlK675T8slOZ0v1xz549BFdo9J599tkar79TIhJ9puQYtd0fiHV16VPSb59hUvGV0fLy8spsX79+vdavX6/Zs2dr2rRp5db6oU+hKXvhhRfCt3v27CmJzyrEH4IrxJySudEul0uWZVXZtmQ+N/Op0ZTt379fu3fvliTl5eWpTZs2GjNmjE4++WQFg0GtXr1a06dP14EDBzRv3jzZbDY99NBDkqSDBw+Gj1PSnypT+q/cubm59fBMgIZVly/YkegzJZ9Ztdmfzzk0BnXpU1LZ4Mrr9eryyy9X3759lZqaqi1btmjWrFn6+uuvtX37dl111VV655131KxZs/A+9Ck0VR988IEWLVokSWrTpo369+8vic8qxB+CK8SckisEVjUktUTJJZW5qiCastK/8J9xxhmaMmVKmSka3bt314gRI3TllVdq+/btmjt3rs4//3z17NmzTN+p7BLlJVwuV/g2fQ5NVST6TMlt+hxQrORzzOPx6MUXXwyvuSNJp556qoYPH657771Xs2fPVlZWlh555BE98cQT4Tb0KTRF69atC18VUJL+9re/hdeU47MK8YbF2RFzSv5aZxhGtW1LFiKs61/4gHjQrVs3LVq0SNOmTdMzzzxT4boirVq10oMPPhj++ZVXXpFUtu9U1+dK+tvh+wFNSST6THWjiat7XCDezJkzRzNnztTMmTPLhFYlDMPQPffcE16r5/3331d2dnZ4O30KTc13332nP/7xj+GLGowdOzY82kriswrxhzMLMadkOGrJVTGqUpvRWUC8stvtat++vc4++2ylpqZW2q5Hjx7hBTS/+OILhUKhMsO/q+tzpbfX5CpRQDyKRJ8pmVZR3V+mCwsLw7f5nEM8y8zMVLdu3fQ///M/lbax2+264IILJEmBQKDMFdDoU2hKvvrqK1111VU6cOCAJGnQoEG64447yrThswrxhuAKMSchIUFS8ZtoMBissm3JXxmSk5PrvS4gHhx//PGSitfCOnjwYLi/SQpfkaYypbenpKTUT4FAjItEnyk5RslnWE3253MO+O0zTJJ27twZvk2fQlOxePFi/f73vw+vJTVw4EA98cQT5UY68VmFeENwhZhTcuWKQCCgvXv3Vtm25MoVmZmZ9V4XEA9Kr0Pg8/nUpk2b8M8lC7xXpvR2+hyaqkj0mZLPudrsX91VdoGmoPQi0D6fL3ybPoWmYObMmRo/fnx4hNMFF1ygp556qsJR8HxWId4QXCHmlL7E8S+//FJpu+zs7PDlkn/3u9/Ve11ArPr222+1cOFCzZkzp9q2+/fvl1S8bkFKSoratm0bXnSzqv4mSdu2bZMkNW/enBFXaLIi0WdKPud27twpv99f7f6l9wHizZ49e/Txxx/rzTffrLZPlV7XKj09PXybPoV4N3nyZE2cODE8G2Xs2LF65JFHKl2His8qxBuCK8ScU089NXz7q6++qrTdmjVrwrcrWsgTaCqee+453XLLLbr77rvDoxAr4vV69Z///EeS1LFjRzkcDpmmqZNPPllS1f0tGAzq66+/lkR/Q9MWiT7TqVMnScVT4tevX1/pMUo+5yzLKvPZCMSTb775Rn/605/0t7/9TQsXLqyybek+V9IPJfoU4tu0adP07LPPSipeaH3ChAm66667qlx0nc8qxBuCK8Sco48+OryGwfz588tc6aK0t99+W1Lx/OszzzyzweoDYs3pp58evj1v3rxK282bNy+8JsLgwYPD9w8YMECStHnzZq1bt67CfZcuXRre95xzzjnimoHG7Ej7TP/+/cN/JS/5LDtcUVGRFi1aJEnq3r0764YgbnXt2jXcHxYsWFDp733Z2dlasGCBJKl9+/Zl1ruiTyFeLV26VE8++aSk4jDq/vvv1zXXXFOjffmsQjwhuEJMGjVqlCTpxx9/1NSpU8ttX7RokZYuXSpJuuSSS8qseQA0NcOGDQtfPWbq1Kn66aefyrX57rvv9Oijj0oqnl4xcuTI8LahQ4cqMTFRknTvvfeGp+CWyM7O1iOPPCKpeO2DQYMG1cvzABqLI+0z6enp4fvefPNNff755+Ue4/HHH1dWVpYkafTo0RF/DkCsyMjICH9hruz3vqKiIt1+++3Kzc2VJI0bN67MaBP6FOLRgQMHdPfdd4d/njBhgi655JIa789nFeKJEarszxpAFAWDQV188cXhYanDhg3TiBEjZLfbtWTJEr3yyisKBAJq2bKl5s2bp9TU1OgWDETZzJkzNXHiRElSUlKSrrnmGp1xxhny+/1asWKFpk+frsLCQlmWpcmTJ6tfv35l9n/llVf04IMPSipen+C6667TMcccox9//FH/93//px07dkiSJk2aVGa0FhBv7rzzzvBfltetWxdeI+RwR9pndu3apSFDhigvL08Oh0N//OMf1atXLx06dEivv/66Pv74Y0lSnz59KvwiDzQWNelTO3bs0EUXXRReh3Hw4MEaMWKEUlNT9eOPP+qll14K/1Fm8ODBmjRpUrlj0KcQb5555hk999xzkqQTTzxRDz/8cLX7eDweHXPMMeGf+axCvCC4Qszas2ePfv/731c4ekQqXkDwX//6V5mh4kBTNm3aNE2aNEmBQKDC7YmJibr//vs1ZMiQCrc//PDDevnllyvcZpqmbr31Vv3xj3+MVLlATKppcCUdeZ/58ssvNW7cuPAoksN17dpV06ZNU1JSUs2fABBjatqn1q9frxtvvFG//vprpccaNmyYHnrooQqvoibRpxBfevfuXe0V/Q7XvXt3vfrqq2Xu47MK8YDgCjGtqKhIr776qt5//31t3bpVPp9Pbdu2Vf/+/XX11VeXuaIMAGnjxo2aMWOGPvvsM+3evVs2m01t2rRRnz59dOWVV1Z7meKVK1dq5syZ+uabb3TgwAGlpqbqtNNO09ixY9W1a9cGehZA9NQmuJKOvM/s3r1b//rXv7Rs2TLt3LlTlmXpuOOO07Bhw3TZZZfJZrNF5HkB0VKbPlUyimPx4sXatGmTCgsL1axZM3Xp0kWXXHKJevbsWe3j0acQD7Kzs+u0hm9FwZXEZxUaP4IrAAAAAAAAxCQWZwcAAAAAAEBMIrgCAAAAAABATCK4AgAAAAAAQEwiuAIAAAAAAEBMIrgCAAAAAABATCK4AgAAAAAAQEwiuAIAAAAAAEBMIrgCAAAAAABATCK4AgAAAAAAQEwiuAIAAAAAAEBMIrgCAAAAAABATCK4AgAAAAAAQEwiuAIAAAAAAEBMIrgCAAAAAABATCK4AgAAAAAAQEwiuAIAAAAAAEBMIrgCACAC7rzzTh1//PHh/0488URlZWXV6hher1fdunUrc5zPP/+8niqOrK1bt+rNN9+scNvo0aPDz2f79u0NXFnD2b59e/h5jh49OtrlIIree+89ff/999Euo1q5ubmaOnVqtMsAAKBKBFcAANSDYDCoDz/8sFb7LFu2TLm5ufVUUf3w+/2aPHmyhg4dqtWrV0e7HCCqtm3bpquvvlq33nqrDh48GO1yqrRo0SINHjxYs2fPjnYpAABUieAKAIB6snDhwlq1f++99+qpkvqza9cuPfvss/J6vdEuBYi6d955RytXrox2GTXy2GOP1XpUKAAA0WCLdgEAAMSbxMREHTp0SGvWrNGePXuUmZlZ7T75+fn65JNPJEmmaSoYDNZzlYi0tm3bauPGjdEuAwAAIK4w4goAgAjr37+/pNpNF1yyZIkKCgpkmqa6detWn+UBAAAAjQbBFQAAEXbOOefI4XBIKl5HpiZKpgl269ZNLVq0qLfaAAAAgMaEqYIAAERYYmKizjrrLC1ZsqRG0wVzcnK0YsUKSdL555+vL7/8skaPs2fPHs2aNUsrVqzQ1q1blZ+fr9TUVB1//PHq16+fLr74Yjmdzgr3ffbZZzV58mRJ0ooVK5Senq65c+dqwYIF+umnn5Sbm6tmzZrp9NNP16hRo9SlS5cy+3/++ecaM2ZMmfvefvttvf3225KkG2+8UePHj6/wsXNzczV9+nQtWbJEv/zyi4LBoFq1aqU+ffroyiuvVOvWrSt9zvv379fs2bO1bNkybdq0SXl5eUpKSlKbNm105plnauTIkTrqqKNq9PpVZufOnXr99de1cuVKbd26VUVFRUpOTtYxxxyjXr16aeTIkWrevHm5/bZv3x4ebde9e3e9+uqrZbYff/zxkqSRI0dq4sSJ2rRpk2bMmKGVK1dq9+7dcjgcateunQYOHKhRo0bJ4/FUWWdhYaEWLVqkBQsWaMuWLdqzZ4/cbrc6dOigfv366fLLL1dSUlKl+/t8Pr3zzjv68MMPtWHDBh04cEAJCQlq166devfurSuuuEKpqam1fPV+U/oc+/TTT5WUlKQ333xT8+bN05YtW+T1etWyZUsNGDBAY8eOVVpamiQpLy9PM2fO1Pvvv6+ff/5ZktS+fXsNGzZMV155pWy2yn99zc/P17x587Rq1SqtX79eBw4ckNfrVVJSktq2basePXpo1KhRatWqVaXHqMs5duedd4bP/RKl+8eSJUvUtm3bMtsj9fpnZWXpnXfe0ZIlS7R9+3YdOHBAKSkpOvHEE3X++edr2LBhMs3f/lZdch6W2LFjR/i+is5bSdqwYYNmzZqlL7/8Ujt37lQgEFCzZs3UuXNnnXfeeeHzviKjR4/WF198oeOOO07vvvuusrOz9eqrr+qjjz7Sjh07ZLfbdcwxx+iCCy7QZZddJsuyJBUvdD99+nQtW7ZMu3btktvt1kknnaQrr7yy3OPNnDlTEydOlCRdeumluv/++6t8zV5//XXdd999kqSJEydq5MiRVbYHAEQXwRUAAPVgyJAhWrJkSXi64JVXXllp2w8//FA+n092u10DBgyoUXA1c+ZMPfbYYyosLCxzf1ZWlrKysrRixQq98MILmjRpkk499dQqj3XgwAHdcMMN+uabb8rcv3PnTs2fP1/z58/XuHHjdMstt1RbV3XWrVunBx98UHv37i1z/6ZNm7Rp0ya98cYbmjRpkv73f/+33L5fffWVxo0bpwMHDpS5f//+/dq/f7++/fZbvfTSS7rtttt09dVX16m+xYsX6y9/+YsKCgrK3L9v3z7t27dPX331lf75z3/qwQcf1Pnnn1+nx5CkOXPmaOLEiWUWtS8sLNS6deu0bt06vfbaa5o+fXqlIdz69es1fvx47dixo8z9Pp9PX3/9tb7++mu98sormjJlijp16lRu/40bN2r8+PHhYKjEgQMHtHbtWq1du1YvvfSSHn74YZ177rl1fp4lsrKy9Ic//EHr168vc//mzZv1/PPPa+HChXr11VeVl5encePGaevWreWe7/r167V8+XJNmzYtHG6UtmzZMt1xxx3av39/uW3Z2dnKzs7WunXr9PLLL+uxxx7T4MGDy7VriHNMitzrP3/+fP39738vd77u3btXy5cv1/Lly/Xaa6/p+eefV3p6eq3rLCoq0oMPPljhlQd37NihHTt26L333tPpp5+uSZMmqVmzZlUeb/Xq1brpppu0b9++MveXnPfLly/XlClTtHTpUk2YMEF5eXnhNl6vV6tWrdKqVat0yy23aNy4ceFtQ4cO1aOPPqqioiItWrRId999d6WhvVS8iL4kuVwuDRkypCYvBQAgioxQKBSKdhEAADR2pUdcvPTSSzr11FPVs2dPFRYWqlu3bpo5c2al+/7+97/XqlWrdPbZZ2vatGn6y1/+ogULFkiSXnnlFZ1xxhll2r/44ot69NFHwz+fddZZ6tu3r9LS0rRjxw4tWLAgvEi40+nU9OnTy42YKj0apkOHDtq0aZOOOuooXXjhhWrXrp3279+v+fPna+3atWUet1evXpKKg4CvvvpK+/bt09///ndJ0hlnnBEeZdK+fXt16NBB0m8jLiTJZrPJ7/frpJNO0vnnn6/mzZvr559/1qxZs8JXOEtLS9P7779f5ov2/v37NWTIEGVnZ8swDA0aNEhnnnmmUlJSlJ2drc8++0wffvihSn6teeGFF3TWWWdV/Y92mM2bN+uCCy5QUVGR7Ha7hg8fri5duighIUF79+7V0qVLtWrVKkmSZVmaN2+ejjvuuPD+NR1x1b59e/38888yDEMDBw5Uz5495XK59O233+qNN95Qfn6+JKlr1656/fXXy9W5YcMGjRw5UkVFRZKkjh07aujQoWrbtq12796tefPmacOGDZKk5ORkzZs3r8woth9++EGXX365Dh06JEnq0qWLBg4cqBYtWignJ0crV67URx99pFAoJMMwNGnSJA0aNKhWr6VU9hxr166dtm7dqvbt2+vCCy9Uq1attGnTJk2fPj38fPv376+NGzdq+/bt6tmzpwYOHKjExMRwkOfz+SRJ999/vy699NIyj/XNN99o1KhR8vv9MgxD55xzjs4880xlZGSoqKhIP/30k9555x3t2bNHkuR2u/XBBx+UmZZ7JOfY+vXrtXPnTr333nt6//33JUk333yzOnbsKEnq1auX3G53RF//0qOGpN/eB1JSUrRlyxbNmjUrHBB36tRJr7/+umw2mxYvXixJuueee5Sdna309PTwCKXU1NTwGnuBQEDjx4/XkiVLJEl2u13Dhg1Tt27d5HA4tHHjRr311lvhx2jbtq3efPPN8Mi5EiX9Pz09XX6/Xzk5OTrzzDN17rnnyuPxaM2aNXrzzTfDr+vll1+uuXPnKhgMatiwYeH3v8WLF+ujjz6SVHwBi3fffTf8HiNJt912m959911J0qRJkyoMJqXifl6ybejQoXriiScqbAcAiCEhAABwxO64445Qx44dQx07dgytXLkyFAqFQuPHjw917NgxdMIJJ4R2795d4X579+4NnXjiiaGOHTuG3nnnnVAoFArddttt4WN99tlnZdpv2LAhdPzxx4c6duwYOvnkk0OLFi0qd8xAIBB67LHHwsc466yzQvn5+WXaPPPMM+HtHTt2DN18882hoqKicse59dZbw21uuOGGco+1bdu28PY77rijwud45ZVXlnmsp59+ulyb7Ozs0IABA8JtZsyYUWb7yy+/HN42ZcqUCh/njTfeCLe5+uqrK2xTlQcffDC8/7x58yps89RTT4Xb3HPPPWW2lX4trrzyynL7ln4NOnfuHPryyy/Ltfnuu+9CJ598crjdhg0bymz3+/2hESNGhLc/8sgjoUAgUKZNIBAI/eUvfwm3uf3228PbfD5faNCgQaGOHTuGjj/++NBrr71W4fP87LPPQl26dAl17Ngx1KVLl1BWVlbFL1oVDj/Hxo8fX+4c+/LLL8u06dixY+if//xnuWMtWrSoytf28ssvD2+fO3duhfXk5uaGBg4cGG43ffr0MtsjcY6Vfs6H991QKHKv/6+//hrq3LlzqGPHjqGTTjoptHDhwnLHOHjwYGjIkCHheubMmVNme9++fUMdO3YM9e3bt8Iapk+fHt737LPPDv3444/l2uTk5ITGjBkTbnf99deXa3N4/3/ppZfKtZk8eXKZNqecckqF/WPixInhNs8++2yZbatWrQpvu+666yp8TqFQKPTkk0+G261atarSdgCA2MHi7AAA1JOSKSjBYFAffPBBhW0WLVqkQCAgl8tV5ToxJZ577rnwyIRbbrlFAwcOLNfGNE3dfvvt6tu3ryRp9+7dFU71KZGamqqHH344vKB86ePcdNNN4Z9Lj76qqx49epQ5Zom0tDRdc8014Z+//fbbMts3b94cvt2vX78Kj33JJZfof/7nf3TyySdXuaZYZWryGNddd53atGmjzp07Kzk5udaPUeL666+v8OqRJ554Ypl/08Onb65cuTI83a579+6aMGFCmfWLpOJ/twceeEApKSmSis+xktFZ77//fvh5jhkzRpdffnmF9Z1xxhm6+eabJRWvOVXRuke1kZKSogceeKDcOdatW7fwqCRJOu200/SHP/yh3P4DBw4Mj+T54YcfymzbtWuXvvrqK0nFI4suvPDCCmtITEzUVVddFf659L/34T/X1zkWqdd/5syZ4ZFq1157bYUjspKTk/XQQw+Ff543b16N6/T7/Zo6daokyTAMPfPMM/rd735Xrl1SUpImT54cHrm2ePHi8Gi/inTv3l1jx44td/+oUaPK/Hz11VdX2D9Kr0V1+HnQo0eP8Dpiy5cvV3Z2drn9g8Fg+HVo06aNevToUWmtAIDYQXAFAEA96dOnT3iB7cquLlhyNcE+ffooMTGxyuN5vV4tX75cUvEXxiuuuKLK9qXXgKksOJOkvn37hqcxHe6YY44JP4fD1/2pi6FDh1a67ZRTTgnfPnwNrNLTBl988cUya0OV9vbbb2vu3Ll6+OGHa11b6ceYNm2agsFguTZut1tLly7V7Nmz9Ze//KXWj1GismlMUnF4VeLw17xkmpckXXXVVTIMo8JjOJ1O3X333br77rv13HPPhduVnG+Sql2Q+pJLLgmvJVUyXayu+vTpU2nQV3odrwEDBlR6jJLpjjk5OWXub9GihZYtW6bXXntNDzzwQJV1lH6sw9eHa4hzLFKvf8l5YLPZqlw/79RTT9Wf//xnPfDAA7r11ltrXOfatWvDfbBnz54VrpNWIikpqUwNVV1Jdfjw4RXen5aWVuZCAhUF8lJx2FTi4MGDZbYZhqERI0ZIKg7eSqYNlvbpp59q165dkqQLLrig0v4DAIgtLM4OAEA9cblc6tevn95991199dVX2r17d5k1dUqPFKnJQt/ff/99eBHmLl26yOVyVdm+U6dOSkpKUm5urv7zn/8oEAhUuKh16XWaKpKUlKT8/Hz5/f5qa6xO6dE1hysd3JWMECoxZMgQPf/88woGg3rnnXe0cuVK9evXT2eddZbOOOOMIxr9VOK8884Lj8aYOnWq3n//ffXr10+9evXS6aefXu1V/mrK4/GUu8JcaaWfS8m6TiVKj8A6/fTTq3ycYcOGlbuv5HyTikesbNmypcpjNGvWTLt379ZPP/2kvLw8JSQkVNm+MhWN1ilR+vm2a9eu0nYlr//hgaJhGGrRokWZvlWaz+fTli1b9J///KdMgBsIBMq0a4hzLBKvf05OTni/Dh06VLvo+p/+9Kda11l6dOWZZ55ZbftevXrpySefLLfv4ao7D3JzcyUVB+YVKd0HKwqWL7roIj333HPhkVUVXflUKhtyAQBiH8EVAAD1aPDgwXr33XfDVxccPXp0eNt7772nUCikpKQknX322dUeq/QopMq+2JVmGIbatm2rDRs2yOfz6eDBgxV+ya3uC7nNVvzrQigC13Op6rFKj344/LGOO+44/fWvf9VDDz2kYDCorKwszZ49W7Nnz5ZlWTrllFPUu3dvDRo0qMyCzbVx9tln6+qrr9aLL74oSdq2bZumT5+u6dOny263q2vXrurTp48GDhxYZuRHbZUeWVKR0uHi4a9DydXYEhMTw1MBayovL6/MaKXaXCUyFAopOzu7zsFVampqjdpVNvJPUo1Gx2RlZenjjz/Wd999p19++UW//PKLdu7cWWHo2tDnWKRe/9LvA0dyHlaltu81Rx99dPj24VcMLK2m50FlIXF150CrVq3Us2dPrVixQt9++602bdoU/rc6dOhQeKTa6aefXukVOwEAsYepggAA1KPevXuHg4qFCxeW2VYybejcc88tt/ZPRUquQiZV/QW/tNLtStbEOVxFo7DqS0kIVhejR4/W7NmzNXDgwDKjzQKBgNauXatnnnlGQ4YM0bXXXhueDlRbd9xxh1588UX17t1bdrs9fL/P59Pnn3+uRx99VP3799eECRPKTVmrqSN5DUqmDtb037+00udPXeTl5dV53yN5zjXh9Xr1wAMPqE+fPrrnnnv0+uuva+XKldq2bZv8fr9M0wxfybIq9XmORer1Lz19tC7nQU3U9r2mJu8zUv2fB1LxqKsSpdf1WrhwYXjEauk2AIDYx4grAADqkcPhUP/+/fXOO++UmS74888/hxfZPu+882p0rNKjEEq+gFWndNgQqalu0dSpUyc988wzKigo0Oeff65Vq1bps88+0w8//BAeQbNs2TJdddVVmjdvXrXTKSvSq1cv9erVS7m5uVq5cqU+/fRTffbZZ9q6dauk4tEv8+bN044dOzRjxowGXSfH5XLJ5/PV+N//8H1LdOjQQe+//34kS4uaUCik66+/Prz+m81mU9euXXXyySfr2GOPVYcOHXT88ccrISFBn376aYVrH5VWX+dYpF7/0iFRXc6Dmqjte03p95n6CtNq6pxzzlFqaqoOHDigBQsWhNf2mj9/viQpISGh0jW0AACxieAKAIB6NmTIEL3zzjsKhUL64IMPNGbMmPBoq4yMjBqtISOpzFXMfv7552rbB4NBbdu2TVLxYt0lV2WLB263W3369FGfPn0kSXv27NG7776rp59+WoWFhdq6davmzZtX7QLYVUlKStKgQYPCV2zbtm2b5s6dq6lTpyoYDGr16tVauXKl/vd//zcST6lGMjIylJubq0OHDiknJ6fKqZc7d+7Ujh07dNRRRykzM1PJyclyOp0qKirS9u3b5fV6azTSL9YtXLgwHFq1adNG//rXv9S+ffsK2x6+oHdVIn2ORer1z8jICN/euXNnte2///57+Xw+tW3btsbvAc2bNw/frsl7Tek2LVu2rNFj1BeHw6GhQ4fq1Vdf1a+//qr//Oc/atOmjVavXi2p+P042uEaAKB2mCoIAEA969mzZ3htl5LFoUuuvDVo0KAaT9U74YQT5HQ6JRUv8nz4VdEO9/XXX4en7ZxwwgmN9gpawWBQCxcu1JQpUzRp0qQK22RmZurqq68uc6W/7777rsaPUVBQoAULFuiZZ57Ryy+/XGGbo446SrfccouuuuqqOj1GJJS+ulvphb4rMnfuXF1xxRXq3bu3Fi5cKMMwwvsXFRVp1apVVe7v9Xp1880367777tM///nPiCzOXx9KX3HvhhtuqDS0ksr+e5Ve46ohzrFIvf6ZmZnhcOinn36qNox78MEHdfHFF6tHjx5Vrj9VWufOncO3P/3002rbr1y5Mny79FUxo+Xiiy8O3/7oo4+0dOnS8GLuF154YbTKAgDUEcEVAAD1zG6365xzzpFUHDZ8+eWX2rhxo6SaTxOUikcSlIz+OHTokGbOnFll+6lTp4Zv9+/fv5ZV14xp/varREVX+YrUYzz++ON6+umnNXXqVGVlZVXatvSIktosJG5Zlv72t7/pueee05QpU+T1eiP+GJHQr1+/8O0ZM2ZU2i4QCGjBggWSis+/Hj16SJIGDBgQbjNlypQqw6g5c+Zo0aJFev3117Vw4cIGWZ+oLkqv+VTVv0d2drbeeuut8M+ln3ukzrHS4XBF/SFSr3/JeeDz+TR79uxKj7F9+3atWbNGUnGgVHq0VkmtFdV56qmnhkddrVq1SuvWrav0MXJycvTaa6+Ff66v95raOOGEE3TyySdLKg6uShZlb9eunbp27RrN0gAAdUBwBQBAAxgyZIik4i+Jd999tySpdevWtf4S9cc//jE8QmvSpEn68MMPy7UJBoN64okntGzZMknFU3cuu+yyIym/UqWn3NR1sfKaKAn4gsGg7rzzzgqDpYKCgvAVASXpjDPOqPHxHQ5HOFw8ePCg7r333gq/0O/bty8cFBiGoe7du9fqeRypAQMGqF27dpKk5cuXa8qUKeXaBAIBPfroo+E1uc4///zw1SQvvvjicCDxzTff6K677qrwtfziiy/02GOPhX++7rrrIvxMIqdt27bh22+88UaF/26//vqr/vSnP5UJpIqKisq0icQ5VnptqIr6Q6Re/6uuuip88YDnnnuuzIin0o9/xx13KBAISJLGjBlTYa25ubnlrrDocDj0hz/8QVLxyLSbbrpJmzZtKvcYhw4d0k033aQ9e/ZIKr4yZ5cuXcq1i4aSBdg3b94cnkrKouwA0DjF5p/OAACIMz169FB6erqys7PDgcKQIUNqPX3vlFNO0S233KInn3xSXq9X48ePV+/evdW3b1+lpqZq586dmj9/vr7//ntJxaNtnnjiCaWkpET6KUkqvry92+1WQUGBli9frmnTpunoo49W69aty0xrO1LXXHON3n77bWVlZWnFihU699xzNWLECB1zzDGSitfYmTt3bvgLdPfu3XX22WfX6jFuvvlmLV26VAUFBXrrrbe0du1aDR06VG3btpXX69WmTZs0d+7c8NSsESNG6LjjjovYc6wJy7L0xBNPaNSoUfJ6vXr66ae1bNkyDRkyRM2bN9f27du1YMEC/fDDD5KKQ8sJEyaE9/d4PHrqqaf0+9//Xj6fT/Pnz9eaNWs0YsQIdejQQQcPHtSXX36phQsXhgOg888/P6YXs77ooos0e/ZshUIhrVy5UiNGjNDw4cPVsmVL7d+/X2vXrtWHH35Ybmrt4Vf5i8Q5Vnp9p5K1sEzTVO/evZWSkhKx179du3a644479MADD6iwsFDXXHONBgwYoLPOOktOp1ObNm3SG2+8oezsbEnSWWedpREjRpSr9YcfftChQ4f017/+VWeffbacTqf69u0rqTjoWrVqlZYtW6adO3fqggsu0LBhw9StWzc5HA798MMPmjt3bjgMbNmypR555JHa/wPWk6FDh+rRRx9VYWGh/H6/LMvS8OHDo10WAKAOCK4AAGgAlmVpwIABmjVrVvi+888/v07Huvbaa5WQkKDHHntMhYWF+ve//61///vf5dq1bdtWTz31VEQDpMMZhqGhQ4fqjTfekN/v15NPPilJGjhwoJ555pmIPU5qaqpeeOEFXXfdddq1a5d27dql//u//6uwba9evfT000/X+jGOOeYYTZkyRbfccosOHjyozZs3V3qcoUOH6h//+EetHyMSTjnlFL388su6+eablZWVpbVr12rt2rXl2h133HGaPHlyeLRVidNPP10vv/yybr31Vu3evVs7duzQ5MmTK3yskSNH6u9//3t9PI2I6dSpk+688049+uijCgaD+v7778PBbWlpaWl64IEHdN999ykrK0s//PCDgsFgeLprJM6xXr16KSMjQ/v27dOmTZvCoeHUqVPD03wj9fqPHj1almXpkUceUVFRkT744IPwGnqlnXvuuXr88cfLheTDhg0Lv2+89dZbeuutt5Senh5e08o0TU2ePFkTJ07UnDlz5PV69eabb+rNN98s9xg9evTQE088Ue5ci6akpCQNGDAgfDXBXr16qUWLFlGuCgBQFwRXAAA0kCFDhoSDq/bt2x/RIsZXXHGFzjnnHL3++utasWKFtm3bpvz8fDVv3lzHHnushg4dqoEDB8rlckWq/Erdc889Sk9P13vvvafdu3fL4/HI5/NF/HFOOOEEvf/++5o7d64+/vhj/fjjjzpw4IBsNpuaNWumLl266LzzzgsHBHXRs2dPLVq0SG+88YaWL1+uzZs3Kzc3Vw6HQ5mZmerevXt41Ek0nXbaafroo480e/ZsLVmyRD/99JNycnKUmJio448/XkOGDNGFF15Y6VXrunXrpo8++ij8Wn7//ffav3+/bDabWrZsqW7duunSSy+t19AzksaOHasuXbrolVde0VdffaWsrCwZhqHU1FR16NBBffr00YUXXqjk5GQtXrxYb7/9tg4ePKhPPvmkzLphR3qOpaSkaMaMGXryySe1Zs0aHTp0SOnp6dq/f3+ZdpF6/UeNGqV+/fpp5syZWrFihbZv366CggKlpaWpc+fOuvjiiysdeTh06FAFAgG98sor2rJli6TiKx8ePHgwPELT4XDogQce0GWXXaY5c+boiy++0K5duxQKhdSqVSuddNJJuuiii9SjR4+YvPhD586dw8EVi7IDQONlhA6f1A4AAAAAjdyYMWP0+eefKzU1VcuXL680yAUAxDYWZwcAAAAQV7Zu3aovvvhCkqocfQgAiH0EVwAAAADixv79+3XbbbcpFArJsixdccUV0S4JAHAEWOMKAAAAQKM2d+5cTZs2TSkpKfrxxx+Vn58vSbr00kvVtm3bKFcHADgSBFcAAAAAGrXMzExt3bq1zH0dO3bU7bffHp2CAAARw1RBAAAAAI1ahw4d1LFjRzkcDrVo0UJXXHGFZsyYoYSEhGiXBgA4QlxVEAAAAAAAADGJEVcAAAAAAACISQRXAAAAAAAAiEkEVwAAAAAAAIhJBFcAAAAAAACISQRXAAAAAAAAiEkEVwAAAAAAAIhJBFcAAAAAAACISQRXAAAAAAAAiEkEVwAAAAAAAIhJBFcAAAAAAACISQRXAAAAAAAAiEkEVwAAAAAAAIhJBFcAAAAAAACISQRXAAAAAAAAiEkEVwAAAAAAAIhJBFcAAAAAAACISQRXAAAAAAAAiEn/H2TTlf5gonQsAAAAAElFTkSuQmCC\n",
"text/plain": [
"<seaborn._core.plot.Plot at 0x1b7ea01c0>"
]
},
"execution_count": 39,
"metadata": {
"image/png": {
"height": 378.25,
"width": 509.15
}
},
"output_type": "execute_result"
}
],
"source": [
"(so.Plot(tv_trace.posterior[\"β\"].to_dataframe(),\n",
" x=\"time\", y=\"β\")\n",
" .add(so.Line(), so.Agg())\n",
" .add(so.Band(), so_ci)\n",
" .label(x=MONTHS_LABEL, y=r\"$\\beta(t)$\"))"
]
},
{
"cell_type": "markdown",
"id": "297699b4-bb17-4dd6-bcbe-db1c36e6d630",
"metadata": {},
"source": [
"We see the effect of these time-varying coefficients on the posterior predictive survival functions below (the dashed lines and credible intervals are for the time-varying model)."
]
},
{
"cell_type": "code",
"execution_count": 40,
"id": "7342ac02-7e0e-4a5f-8c76-22a21c24f29a",
"metadata": {},
"outputs": [
{
"data": {
"image/png": 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\n",
"text/plain": [
"<seaborn._core.plot.Plot at 0x1b8ddbb50>"
]
},
"execution_count": 40,
"metadata": {
"image/png": {
"height": 378.25,
"width": 595
}
},
"output_type": "execute_result"
}
],
"source": [
"(so.Plot(trace.posterior[\"sf_pred\"].to_dataframe(),\n",
" x=\"time\", y=\"sf_pred\", color=\"metastized\")\n",
" .add(so.Line(), so.Agg())\n",
" .add(so.Line(linestyle=\"--\"), so.Agg(), \n",
" data=tv_trace.posterior[\"sf_pred\"].to_dataframe())\n",
" .add(so.Band(), so_ci,\n",
" data=tv_trace.posterior[\"sf_pred\"].to_dataframe())\n",
" .scale(color=so.Nominal())\n",
" .limit(x=(0, t.max()), y=(0, 1))\n",
" .label(x=MONTHS_LABEL, y=PP_SF_LABEL, color=str.capitalize))"
]
},
{
"cell_type": "markdown",
"id": "ff880fb0-4fd3-452e-a76a-6295240da843",
"metadata": {},
"source": [
"This post is available as a Jupyter notebook [here]()."
]
},
{
"cell_type": "code",
"execution_count": 41,
"id": "4183dd9c-3f7f-4d57-9075-846d8d27878a",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Last updated: Tue Jan 10 2023\n",
"\n",
"Python implementation: CPython\n",
"Python version : 3.10.8\n",
"IPython version : 8.7.0\n",
"\n",
"numpy : 1.23.5\n",
"pytensor : 2.8.11\n",
"pymc : 5.0.1\n",
"lifelines : 0.27.4\n",
"arviz : 0.14.0\n",
"seaborn : 0.12.2\n",
"pandas : 1.5.2\n",
"matplotlib: 3.6.2\n",
"nutpie : 0.5.1\n",
"\n"
]
}
],
"source": [
"%load_ext watermark\n",
"%watermark -n -u -v -iv"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.8"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
@wojla
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wojla commented Jan 20, 2023

Hi.
Thank you. I gratefully appreciate the effort.
Having identical env after triggering the 23th cell I have TypingError: Failed in nopython mode pipeline (step: nopython frontend)
Bugtrace connects it to numba. I have numba==0.56.4. Please attach the numba version you've used.

@AustinRochford
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Author

AustinRochford commented Jan 20, 2023

Thanks for the kind words @wojla

> conda list | grep numba
numba                     0.56.4                   pypi_0    pypi

@wojla
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wojla commented Jan 21, 2023

Thank you.
The issue is within nutpie.
I used a standard NUTS sampling form pymc
Instead:

trace = nutpie.sample(
    nutpie.compile_pymc_model(model),
    seed=SEED
)

I called:

with model:
    trace = pm.sample()

It solved all my issues.

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