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Common and less common pitfalls in epidemiological research.

8 Updated Oct 7, 2023

The gfoRmula package implements the parametric g-formula in R. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or me…

R 181 69 Updated Nov 3, 2025

The GFORMULA macro implements the parametric g-formula in SAS. The parametric g-formula (Robins, 1986) uses longitudinal data with time-varying treatments and confounders to estimate the risk or me…

SAS 36 17 Updated Sep 17, 2024
Jupyter Notebook 3 Updated May 30, 2023

Difference in Differences with Multiple Periods, website: https://bcallaway11.github.io/did

HTML 364 118 Updated Oct 10, 2025
TypeScript 215 27 Updated Apr 4, 2024

AutoML for causal inference.

Jupyter Notebook 231 32 Updated Dec 18, 2024

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

Jupyter Notebook 1,328 401 Updated Jan 8, 2022

🥧 An R package for easily creating and visualizing sufficient-component cause models

R 7 1 Updated Aug 8, 2018

Writing reviews of academic papers

504 105 Updated Aug 12, 2015

code for collaboration on CJI project

C++ 4 2 Updated Nov 10, 2024

pgf: R implementation of the parametric g-formula

R 5 4 Updated Jan 11, 2019

Diagnostics for confounding of time-varying and other joint exposures

R 11 3 Updated Dec 12, 2022

Causal Inference using R. Examples are from the book Causal Inference (Chapman & Hall/CRC, 2012) by Miguel Hernán and Jamie Robins. Complete contributor/reviewer list is updated in http://www.hsph.…

R 3 2 Updated Jun 16, 2012