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

Scalable covariate-balancing propensity scores (CBPS) and IPW/AIPW causal-inference estimators in R: a full pipeline on tens of millions of rows within a fixed memory budget, for EHR and national-registry cohorts. Benchmarked against reference packages.

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

Cross-fitted doubly robust analysis of dispatch deadline breaches and late-delivery risk in Olist orders.

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.

Causal effect of hybrid vs gasoline powertrain on fuel consumption (EPA data, 9 estimators + robustness suite)

Multi-domain Open Research and Inferential Estimation