Epidemiology analysis package

Implementation for the paper "Efficient Randomized Experiments Using Foundation Models"

calibratedDML: doubly robust inference via calibration

Tutorials illustrating the use of baseline information to conduct more efficient randomized trials

Python and R package for semisupervised mean estimation and causal inference with AIPW, calibration, and practical uncertainty quantification.

Reproduction code for The Causal Shadow Price by Yousefi 2026. Causal inference, AIPW, semiparametric efficiency.

Reproducible clinical/RWE causal-inference workflow estimating the effect of early right heart catheterization on 30-day mortality using IPTW, doubly robust AIPW, overlap diagnostics, sensitivity analysis, and Python.

MORIE: multi-domain scientific computing toolkit (Python + R) for observational causal inference, survey methods, and criminal-justice analytics — home of the MRM (Multilevel Reconciliation Methodology) framework.