Performance of joint modelling of time-to-event data with time-dependent predictors: an assessment based on transition to psychosis data
Joint modelling has emerged to be a potential tool to analyse data with a time-to-event outcome and longitudinal measurements collected over a series of time points. Joint modelling involves the simultaneous modelling of the two components, namely the time-to-event component and the longitudinal com...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2016-10-01
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Series: | PeerJ |
Subjects: | |
Online Access: | https://peerj.com/articles/2582.pdf |