A similarity-assisted variational autoencoder (saVAE) is a new method that adopts similarity information in the framework of the VAE.

Regression adjustment, IPW, and AIPW estimators for causal effects using various ML methods

Code for "Adaptive Selection of the Optimal Strategy to Improve Precision and Power in Randomized Trials"

Python package for conducting power analysis for experiments using regression and/or clustered data.

Derive rejection boundaries for RCTs with inconsistent covariate adjustment

Covariate Adjustment in Randomized Trials

R code for the simulation study in the paper by James Willard et al. (2024). Covariate adjustment in Bayesian adaptive randomized controlled trials

Create the covariate-adjusted Kaplan-Meier and cumulative incidence functions

Production-style A/B testing with binomial GLMs (logit/probit): covariate adjustment, marginal ATE/risks, cluster-robust SEs, and Brier-score calibration.

SBC analysis with DIGIST