Regression adjustment, IPW, and AIPW estimators for causal effects using various ML methods
-
Updated
Feb 7, 2022 - HTML
Regression adjustment, IPW, and AIPW estimators for causal effects using various ML methods
A similarity-assisted variational autoencoder (saVAE) is a new method that adopts similarity information in the framework of the VAE.
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
Create the covariate-adjusted Kaplan-Meier and cumulative incidence functions
R code for the simulation study in the paper by James Willard et al. (2024). Covariate adjustment in Bayesian adaptive randomized controlled trials
Covariate Adjustment in Randomized Trials
SBC analysis with DIGIST
Add a description, image, and links to the covariate-adjustment topic page so that developers can more easily learn about it.
To associate your repository with the covariate-adjustment topic, visit your repo's landing page and select "manage topics."