migariane/TutorialCausalInferenceEstimators: Computational Causal Inference for Applied Researchers

Fernandez, MALORCID logo, Zivich, P and Smith, MJORCID logo (2020). migariane/TutorialCausalInferenceEstimators: Computational Causal Inference for Applied Researchers. [Dataset]. Zenodo. https://doi.org/10.5281/zenodo.4424912
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This repository makes available to the scientific community the data and code used in the manuscript "Tutorial: Introduction to computational causal inference for applied researchers and epidemiologists using reproducible Stata code with translations to R and Python".

Keywords

Causal Inference, Regression adjustment, G-methods, G-formula, Propensity score, Inverse probability weighting, Double-robust methods, Machine learning, Targeted maximum likelihood estimation, Epidemiology, Statistics, Tutorial

Item Type Dataset
Capture method Simulation
Date 15 December 2020
Language(s) of written materials English
Creator(s) Fernandez, MALORCID logo, Zivich, P and Smith, MJORCID logo
LSHTM Faculty/Department Faculty of Epidemiology and Population Health > Dept of Non-Communicable Disease Epidemiology
Participating Institutions London School of Hygiene & Tropical Medicine, London, United Kingdom
Date Deposited 06 Jan 2021 10:02
Last Modified 29 Sep 2021 16:00
Publisher Zenodo

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