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

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 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.

Statistical Evaluation Methods

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.

Blazing fast propensity score matching

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.

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.

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

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.

Couse project focused on determining the causal effect of being in a technical-vocational course in the Philippines to getting employment. In partial fulfillment of the requirements in Stat 197: Causal Inference in collaboration with Niña Martin & Jerwind Pineda.

An educational Python-based introduction to causal inference techniques using machine learning.

propensity score matching with DoWhy

Emulated target trial analyzing workplace health assessments and cardiovascular risk in 2,091,421 Swedish workers

This project estimates the causal impact of U.S. state EV supportive policies on Electric Vehicle registration growth using Propensity Score Matching (PSM). By controlling for key confounders, it provides statistically robust evidence that EV supportive policies significantly increased EV registration growth, especially after 2020.