The next generation of regression standardization with the R package stdReg2
04/2025
Journal Article
Authors:
Sachs, M. C.;
Ohlendorff, J. S.;
Brand, A.;
Sjolander, A.;
Gabriel, E. E.
Volume:
105
Pagination:
66-74
Journal:
Ann Epidemiol
PMID:
40209836
URL:
https://www.ncbi.nlm.nih.gov/pubmed/40209836
DOI:
10.1016/j.annepidem.2025.04.002
Keywords:
Humans *Software Regression Analysis *Causality Linear Models Models, Statistical Average treatment effect Causal Inference Regression standardization Statistical software
Abstract:
Regression standardization is a useful tool for performing causal inference in epidemiology. We have updated the R package stdReg to stdReg2 to be more user-friendly, flexible, and to include two new functionalities, a generalized linear model-based double-robust method and regression standardization for the restricted mean survival. The old package stdReg will continue to function, but new users may find the upgraded version easier to use. We highlight the improvements and implementation in this article. Keywords: average treatment effect, causal inference, regression standardization, statistical software.
