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# Downloads data here: | |
# https://academic.oup.com/ije/article/49/5/1719/5835351#226179197 | |
############################################################################# | |
# TRIAL EMULATION: SURGERY WITHIN 6 MONTHS AMONG OLDER LUNG CANCER PATIENTS | |
# Author: Clemence Leyrat (from Camille Maringe's Stata code) | |
# Refactored by Vincent Arel-Bundock on 2023-12-08 |
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# Example of examining a continuous x categorical interaction using emmeans, | |
# and an attempt at doing the same using marginaleffects. | |
# Author: Cameron Patrick <cameron.patrick@unimelb.edu.au> | |
library(tidyverse) | |
library(emmeans) | |
library(marginaleffects) | |
# use the mtcars data, set up am as a factor | |
data(mtcars) |
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``` r | |
library(marginaleffects) | |
library(modelsummary) | |
set.seed(20220722) | |
S <- diag(3) | |
S[1,2] <- S[2,1] <- 0.6 | |
S[1,3] <- S[3,1] <- 0.6 | |
data <- MASS::mvrnorm(1000, rep(0, 3), S) |> | |
as.data.frame() |> |
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library(fixest) | |
library(data.table) | |
library(insight) | |
bboot_vab <- function(model, reps = 1e3, conf.level = .95, cluster = NULL) { | |
data <- insight::get_data(model) | |
setDT(data) | |
if (!is.null(cluster)) { | |
if (anyNA(data[[cluster]])) { | |
stop("The cluster variable cannot include missing values.") |
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# French Accents | |
name: french-finnish-accents | |
parent: default | |
matches: | |
- trigger: "e''" | |
replace: "é" | |
- trigger: "e``" |
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library(rdrobust) | |
library(modelsummary) | |
tidy.rdrobust <- function(object, ...){ | |
ret <- data.frame(term = row.names(object$coef), | |
estimate = object$coef[, 1], | |
std.error = object$se[, 1], | |
statistic = object$z[, 1], | |
p.value = object$pv[, 1], | |
conf.low = object$ci[,1], |
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library(data.table) | |
library(tidyverse) | |
library(microbenchmark) | |
make_tibble <- function(...) { | |
treated_units <- sample(1:20000, 4000) | |
# year fixed effects | |
year <- tibble( | |
year = 1981:2010, |
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