Predictive State Propensity Subclassification (PSPS): A causal deep learning algoritm in TensorFlow keras
-
Updated
Apr 26, 2024 - Jupyter Notebook
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.
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.
Review of propensity score matching techniques, especially IPTW, Overlap Weights, and Doubly Robust Estimation
Blazing fast propensity score matching
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.
An educational Python-based introduction to causal inference techniques using machine learning.
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
Do files employed in my research
Add a description, image, and links to the propensity-score-matching topic page so that developers can more easily learn about it.
To associate your repository with the propensity-score-matching topic, visit your repo's landing page and select "manage topics."