Ontology highlight
ABSTRACT:
SUBMITTER: Zeng D
PROVIDER: S-EPMC4890294 | biostudies-literature | 2016 Jun
REPOSITORIES: biostudies-literature
Zeng Donglin D Mao Lu L Lin D Y DY
Biometrika 20160524 2
Interval censoring arises frequently in clinical, epidemiological, financial and sociological studies, where the event or failure of interest is known only to occur within an interval induced by periodic monitoring. We formulate the effects of potentially time-dependent covariates on the interval-censored failure time through a broad class of semiparametric transformation models that encompasses proportional hazards and proportional odds models. We consider nonparametric maximum likelihood estim ...[more]