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.

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 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.

Statistical Evaluation Methods

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

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

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

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.

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.

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.

Do files employed in my research

Blazing fast propensity score matching

Examining the Causal Impact of Recreational Marijuana Legalization on Psychotic Disorder-Related Hospitalizations: Evidence from Logistic Regression and Propensity Score Matching

GitHub Repo For City Manager Research: Published Paper Below

Impact evaluation of the Transit Against Child Trafficking (TACT) transit awareness campaign using A/B tests + causal inference (DiD, PSM). Streamlit dashboard, FastAPI API, Docker & CI/CD.