Joint models for longitudinal and time-to-event data in a case-cohort design.

ABSTRACT: Studies with longitudinal measurements are common in clinical research. Particular interest lies in studies where the repeated measurements are used to predict a time-to-event outcome, such as mortality, in a dynamic manner. If event rates in a study are low, however, and most information is to be expected from the patients experiencing the study endpoint, it may be more cost efficient to only use a subset of the data. One way of achieving this is by applying a case-cohort design, which selects all cases and only a random samples of the noncases. In the standard way of analyzing data in a case-cohort design, the noncases who were not selected are completely excluded from analysis; however, the overrepresentation of the cases will lead to bias. We propose to include survival information of

SUBMITTER: Baart SJ 

PROVIDER: S-EPMC6590325 | biostudies-literature | 2019 May

REPOSITORIES: biostudies-literature