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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.

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nhanes

This repository includes all code for a brief project in which propensity score matching was utilized to determine the causal impact of high physical activity on mortality. All data is from the National Health and Nutrition Examination Survey (NHANES), "a large, ongoing, cross-sectional study of the non-institutionalized US population conducted by the Centers for Disease Control and Prevention (CDC) in two-year waves using a multi-stage stratified sampling scheme." Data is publicly available for download here.

This project was completed as part of a hackathon through the Equitable Data Science for Adolescent Development REU at the University of Minnesota by Shelby Tisdale and Sam Darby.

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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.

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