Ontology highlight
ABSTRACT:
SUBMITTER: Bernhardt PW
PROVIDER: S-EPMC4295570 | biostudies-literature | 2015 May
REPOSITORIES: biostudies-literature
Bernhardt Paul W PW Zhang Daowen D Wang Huixia Judy HJ
Computational statistics & data analysis 20150501
Joint modeling techniques have become a popular strategy for studying the association between a response and one or more longitudinal covariates. Motivated by the GenIMS study, where it is of interest to model the event of survival using censored longitudinal biomarkers, a joint model is proposed for describing the relationship between a binary outcome and multiple longitudinal covariates subject to detection limits. A fast, approximate EM algorithm is developed that reduces the dimension of int ...[more]