Transporting intervention effects from one population to another with targeted learning

Transporting treatment effects from randomized trials to real-world populations, Karolinska Institutet, 16th Nov 21

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…

❗ This is a read-only mirror of the CRAN R package repository. R6causal — R6 Class for Structural Causal Models

cfid: R package for identifying counterfactuals.

Generalized linear mixed model (GLMM) and Generalized estimating equation (GEE)

To accompany Huang, F. L. (2022). Analyzing cross-sectionally clustered data using generalized estimating equations. Journal of Educational and Behavioral Statistics, 47, 101-125. doi: 10.3102/1076…