Joint analysis of longitudinal and survival data measured on nested timescales by using shared parameter models: an application to fecundity data.

ABSTRACT: We consider the joint modelling, analysis and prediction of a longitudinal binary process and a discrete time-to-event outcome. We consider data from a prospective pregnancy study, which provides day level information regarding the behaviour of couples attempting to conceive. Reproductive epidemiologists are particularly interested in developing a model for individualized predictions of time to pregnancy (TTP). A couple's intercourse behaviour should be an integral part of such a model and is one of the main focuses of the paper. In our motivating data, the intercourse observations are a long series of binary data with a periodic probability of success and the amount of available intercourse data is a function of both the menstrual cycle length and TTP. Moreover, these variables are depend

SUBMITTER: McLain AC 

PROVIDER: S-EPMC4844229 | biostudies-literature | 2015 Feb

REPOSITORIES: biostudies-literature