A class of joint models for multivariate longitudinal measurements and a binary event.

ABSTRACT: Predicting binary events such as newborns with large birthweight is important for obstetricians in their attempt to reduce both maternal and fetal morbidity and mortality. Such predictions have been a challenge in obstetric practice, where longitudinal ultrasound measurements taken at multiple gestational times during pregnancy may be useful for predicting various poor pregnancy outcomes. The focus of this article is on developing a flexible class of joint models for the multivariate longitudinal ultrasound measurements that can be used for predicting a binary event at birth. A skewed multivariate random effects model is proposed for the ultrasound measurements, and the skewed generalized t-link is assumed for the link function relating the binary event and the underlying longitudinal proc

SUBMITTER: Kim S 

PROVIDER: S-EPMC4940348 | biostudies-literature | 2016 Sep

REPOSITORIES: biostudies-literature