Propensity Score Matching(PSM) on python

Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras

This repository commits to the application of biostatistics knowledge on clinical, randomized trials and observational studies.

Lecture slides, video recordings, and coding exercises from the 2024 Northwestern University Causal Inference Workshop. This repository is not affiliated with Northwestern University or the workshop.

📊 EconKit — 一站式计量经济学实证分析工具 | All-in-one Econometrics Toolkit for Chinese Economics Students. DID/PSM/RDD/IV/FE/GMM, parallel trends, placebo tests, PDF report. No code needed.

Review of propensity score matching techniques, especially IPTW, Overlap Weights, and Doubly Robust Estimation

Statistical Evaluation Methods

Code and supporting files used as part of the impact evaluation of the Detect, Protect and Perfect (DPP) project to reduce stroke incidence by improving care of atrial fibrillation.

This repository is associated with propensity score analysis utilizing machine learning algorithms to examine the impact of health insurance on duration of hospital stay in the NYC SPARCS 2015 In-patient discharges dataset.

Causal inference project using DoWhy to isolate the true marketing lift of bank contact methods. Applies Propensity Score Stratification to remove selection bias from raw campaign data and delivers an interactive ROI simulator for budget decision-making.

This repository analyzes a marketing campaign using Propensity Score Matching, heterogeneous treatment effects, and causal forests to estimate the true impact of an algorithm across customer segments and channels. The project converts raw transactional and engagement data into actionable deployment recommendations and revenue impact estimates.

Comprehensive reproduction of the paper "BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting" by Noa Dagan, MD, et al., assisted by Professor Yair Goldberg. This statistical project explores vaccination's multifaceted impact on infection rates, employing synthetic data, advanced matching, and sophisticated statistical analysis.

Code and presentation for project utilizing causal inference to determine the impacts of high physical activity on mortality using data from the National Health and Nutrition Examination Survey (NHANES). Results of hackathon at University of Minnesota Equitable Data Science in Adolescent Development REU.

Blazing fast propensity score matching

End-to-end analysis of a three-arm RCT with hypothesis testing, power analysis, segmentation, CUPED variance reduction, and causal inference.

Causal inference study on Reddit data (EPFL Applied Data Analysis 2025): does shared hostility between online communities drive alliance formation? Uses Propensity Score Matching and Rosenbaum sensitivity analysis

A comparative performance study of Propensity Score Matching, Doubly Robust Estimation, and Stratification algorithms. Evaluates Average Treatment Effect (ATE) accuracy and computational runtime across high-dimensional and low-dimensional datasets using L1-penalized propensity score estimation.

GitHub Repo For City Manager Research: Published Paper Below

A causal inference study using Propensity Score Matching and Rosenbaum Sensitivity Analysis to determine if shared hostility between online communities drives new relationship formation.

Code repository for the manuscript: 'Immunotherapy Following Induction Arterial Chemotherapy for Unresectable Hepatocellular Carcinoma — A Biomarker-Guided On-Demand Decision Framework' (3,885 patients; PSM/IPTW + RCS interaction + Target Trial Emulation)