Ask a Question

Prefer a chat interface with context about you and your work?

Assessment of predictive performance in incomplete data by combining internal validation and multiple imputation

Assessment of predictive performance in incomplete data by combining internal validation and multiple imputation

Missing values are a frequent issue in human studies. In many situations, multiple imputation (MI) is an appropriate missing data handling strategy, whereby missing values are imputed multiple times, the analysis is performed in every imputed data set, and the obtained estimates are pooled. If the aim is to estimate …