Inconsistencies in handling missing data across stages of prediction modelling: a review of methods used

Missing data need to be addressed at each stage of developing, validating and implementing a clinical prediction model (CPM). However, no clear guidance exists on handling missing data across this pipeline, and it is unknown which methods are used in practice. We aimed to review and summarize the approaches to handling missing data that underly the CPMs currently recommended for use in UK healthca...