Unknown

Dataset Information

A hot-deck multiple imputation procedure for gaps in longitudinal recurrent event histories.


ABSTRACT: We propose a regression-based hot-deck multiple imputation method for gaps of missing data in longitudinal studies, where subjects experience a recurrent event process and a terminal event. Examples are repeated asthma episodes and death, or menstrual periods and menopause, as in our motivating application. Research interest concerns the onset time of a marker event, defined by the recurrent event process, or the duration from this marker event to the final event. Gaps in the recorded event history make it difficult to determine the onset time of the marker event, and hence, the duration from onset to the final event. Simple approaches such as jumping gap times or dropping cases with gaps have obvious limitations. We propose a procedure for imputing information in the gaps by substituting

SUBMITTER: Wang CN 

PROVIDER: S-EPMC3279741 | biostudies-literature | 2011 Dec

REPOSITORIES: biostudies-literature