propensity-score-matching
There are 11 repositories under propensity-score-matching topic.
gmgeorg/pypsps
Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras
TuoooLiu666/Applied-Biostatistics-Projects
This repository commits to the application of biostatistics knowledge on clinical, randomized trials and observational studies.
raos-projects/causal-inference-workshop-2024
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.
katjanewilson/Propensity-Score-Weighting
Review of propensity score matching techniques, especially IPTW, Overlap Weights, and Doubly Robust Estimation
mcmvp9/propensityscore_analysis
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.
avishagnevo/VaccineMatchAnalysis
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.
platypus1989/blazingMatch
Blazing fast propensity score matching
platypus1989/pyBlazingMatch
Blazing fast propensity score matching
shelby-tisdale/nhanes
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.
FatimaUriarte/STATA
Do files employed in my research
jman4162/introduction-to-causal-inference
An educational Python-based introduction to causal inference techniques using machine learning.