Missing Data Imputation for a Multivariate Outcome of Mixed Variable Types
Missing Data Imputation for a Multivariate Outcome of Mixed Variable Types
Data collected in clinical trials are often composed of multiple types of variables. For example, laboratory measurements and vital signs are longitudinal data of continuous or categorical variables, adverse events may be recurrent events, and death is a time-to-event variable. Missing data due to patients' discontinuation from the study or …