Software

R package brm: Interpretable alternatives to logistic regression and Odds Ratio (Linbo Wang, Mark Clements, Thomas Richardson)

• Fits congenial models for Relative Risk and Risk Difference

• Implements likelihood inference and doubly robust estimation

• Reference: Thomas Richardson, James Robins and Linbo Wang (2017). On Modeling and Estimation for the Relative Risk and Risk Difference. Journal of the American Statistical Association: Theory and Methods, 519, 1121-1130.  

R package brmplus: Extended binary regression models (Jingxin Yan, Conor Klamann, X. Gregory Chen, Linbo Wang)

• Public development version extending brm for risk-ratio and risk-difference inference, with likelihood-based and doubly robust estimation.

• Accompanying research scripts explore Firth corrections and Blaker-type exact intervals for small-sample and rare-event studies.

• Reference: Jingxin Yan, X. Gregory Chen, Margarita Donica, Yujie Zhao, Larry Leon, Qizhai Li, Thomas Richardson and Linbo Wang (2026). A Practical Workflow for Risk Difference and Risk Ratio Inference in Small-Sample and Rare-Event Trials. 

R package tbd: Estimation of Causal Effects with Outcomes Truncated by Death (Zhixuan Shao, Bo Liu, Linbo Wang, Xiao-Hua Zhou)

• Applies to both experimental and observational data

• Linbo Wang, Xiao-Hua Zhou and Thomas Richardson (2017). Identification and Estimation of Causal Effects with Outcomes Truncated by Death. Biometrika, 104(3): 597-612.