A hot‐deck multiple imputation procedure for gaps in longitudinal data on recurrent events
A hot‐deck multiple imputation procedure for gaps in longitudinal data on recurrent events
Abstract We consider the analysis of longitudinal data sets that include times of recurrent events, where interest lies in variables that are functions of the number of events and the time intervals between events for each individual, and where some cases have gaps when the information was not recorded. Discarding …