Regression adjustment, IPW, and AIPW estimators for causal effects using various ML methods
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Updated
Feb 7, 2022 - HTML
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"
A similarity-assisted variational autoencoder (saVAE) is a new method that adopts similarity information in the framework of the VAE.
Python package for conducting power analysis for experiments using regression and/or clustered data.
Create the covariate-adjusted Kaplan-Meier and cumulative incidence functions
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
SBC analysis with DIGIST
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