Ontology highlight
ABSTRACT:
SUBMITTER: Li Q
PROVIDER: S-EPMC5741179 | biostudies-literature | 2018 Jan
REPOSITORIES: biostudies-literature
Journal of the Royal Statistical Society. Series C, Applied statistics 20170130 1
Both dropout and death can truncate observation of a longitudinal outcome. Since extrapolation beyond death is often not appropriate, it is desirable to obtain the longitudinal outcome profile of a population given being alive. We propose a new likelihood-based approach to accommodating informative dropout and death by jointly modelling the longitudinal outcome and semi-competing event times of dropout and death, with an important feature that the conditional longitudinal profile of being alive ...[more]