Outcome-dependent sampling increases the efficiency of studies of rare outcomes, examples being case-control studies in epidemiology and choice-based sampling in econometrics. Two-phase or double ...
Missing covariates are common in regression problems. We propose a new semiparametric method based on a fully nonparametric distribution for the missing covariates that are assumed to be missing at ...
A machine learning project that predicts the likelihood of heart disease using patient health data and logistic regression. Includes data preprocessing, model training, evaluation, and visualizations.
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