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Shimon

SF

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最尤推定法
医学のための因果推論Iの独学アウトプット
Data analysis for Framingham data
Prediction modeling with logistic regression and Elastic Net. Validation with Bootstrap and cross validation
"Data-analysis"- Clinical Prediction model with Framingham data
"data analysis" is final Rmd file. I developed prediction models, evaluated the perfomance and validated it. Developing three regression model: - Simple model(only liner term) with Elastic Net - Simple model(only liner term) with Backwards stepwise -> Maximum likelihood estimation - complex model(adding spline term and interaction term) with Backwards stepwise -> Maximum likelihood estimation
"Data-cleanup"- Clinical Prediction model with Framingham data
"data-cleanup" is Rmd file to overview data distribution, missing rates, and clean up data ready-to-analysis.