Missing data in regularized regression

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When making a clinical prediction model, researchers are confronted with missing data. However, a significant number of researcher do not use any strategy to deal with the missing data. This script allows researchers to build elastic net regression prediction models with multiple imputation, a technique that is valid under MCAR and MAR.

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