stdReg2-package: stdReg2: Regression Standardization for Causal Inference

In stdReg2: Regression Standardization for Causal Inference

stdReg2: Regression Standardization for Causal Inference

Description

Contains more modern tools for causal inference using regression standardization. Four general classes of models are implemented; generalized linear models, conditional generalized estimating equation models, Cox proportional hazards models, and shared frailty gamma-Weibull models. Methodological details are described in Sjölander, A. (2016) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1007/s10654-016-0157-3")}. Also includes functionality for doubly robust estimation for generalized linear models in some special cases, and the ability to implement custom models.

Author(s)

Maintainer: Michael C Sachs [e-mail]

Authors:

• Arvid Sjölander

• Erin E Gabriel

• Johan Sebastian Ohlendorff

• Adam Brand

See Also

Useful links:

• https://sachsmc.github.io/stdReg2/

• Report bugs at https://github.com/sachsmc/stdReg2/issues/

stdReg2 documentation built on April 13, 2025, 5:12 p.m.