The next generation of regression standardization with the R package stdReg2

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.