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October 21, 2019 03:11
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Showing how to do a quick intention-to-treat given rct results
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{ | |
"cells": [ | |
{ | |
"cell_type": "markdown", | |
"metadata": {}, | |
"source": [ | |
"### Intent-to-treat average treatment effect\n", | |
"\n", | |
"All we need to do is sum up all 'good' from the Treatment column, and subtract by all 'good' from the Control column.\n" | |
] | |
}, | |
{ | |
"cell_type": "code", | |
"execution_count": 10, | |
"metadata": {}, | |
"outputs": [ | |
{ | |
"name": "stdout", | |
"output_type": "stream", | |
"text": [ | |
"ATE: 0.4512\n" | |
] | |
} | |
], | |
"source": [ | |
"p_good_treated = df[\n", | |
" df.assignment == \"treatment\"\n", | |
"].good_outcome.mean()\n", | |
"\n", | |
"p_good_control = df[\n", | |
" df.assignment == \"control\"\n", | |
"].good_outcome.mean()\n", | |
"\n", | |
"itt_ate = p_good_treated - p_good_control\n", | |
"\n", | |
"# display\n", | |
"print(\"ATE: %6.4f\" % itt_ate)" | |
] | |
} | |
], | |
"metadata": { | |
"kernelspec": { | |
"display_name": "Python 3", | |
"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": "3.6.5" | |
} | |
}, | |
"nbformat": 4, | |
"nbformat_minor": 2 | |
} |
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