Ontology highlight
ABSTRACT:
SUBMITTER: Zhu H
PROVIDER: S-EPMC5269555 | biostudies-literature | 2018 Apr
REPOSITORIES: biostudies-literature
Zhu Huirong H DeSantis Stacia M SM Luo Sheng S
Statistical methods in medical research 20160726 4
Longitudinal zero-inflated count data are encountered frequently in substance-use research when assessing the effects of covariates and risk factors on outcomes. Often, both the time to a terminal event such as death or dropout and repeated measure count responses are collected for each subject. In this setting, the longitudinal counts are censored by the terminal event, and the time to the terminal event may depend on the longitudinal outcomes. In the study described herein, we expand the class ...[more]