aipw

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.

Lightweight causal inference from precomputed propensity scores and outcome predictions: IPW, AIPW, TMLE, matching, bootstrap CIs. Pandas-native.

Causal RWE evaluation using target-trial principles, propensity methods, and cross-fitted AIPW on known-ground-truth synthetic data.

Cross-fitted AIPW causal inference with transparent simulation diagnostics

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.

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

Cross-fitted AIPW analysis of treatment delay and mortality in low-severity emergency-department visits

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.

Multi-domain Open Research and Inferential Estimation