Time-varying latent model for longitudinal data with informative observation and terminal event times

Yan Bo Pei, Ting Du, Liu Quan Sun

Research output: Contribution to journalArticle

Abstract

Longitudinal data often occur in follow-up studies, and in many situations, there may exist informative observation times and a dependent terminal event such as death that stops the follow-up. We propose a semiparametric mixed effect model with time-varying latent effects in the analysis of longitudinal data with informative observation times and a dependent terminal event. Estimating equation approaches are developed for parameter estimation, and asymptotic properties of the resulting estimators are established. The finite sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a bladder cancer study is provided.

Original languageEnglish (US)
Pages (from-to)2393-2410
Number of pages18
JournalScience China Mathematics
Volume59
Issue number12
DOIs
StatePublished - Dec 1 2016

Fingerprint

Longitudinal Data
Time-varying
Bladder Cancer
Estimator
Mixed Effects Model
Dependent
Estimating Equation
Asymptotic Properties
Parameter Estimation
Simulation Study
Model
Observation

All Science Journal Classification (ASJC) codes

  • Mathematics(all)

Cite this

Pei, Yan Bo ; Du, Ting ; Sun, Liu Quan. / Time-varying latent model for longitudinal data with informative observation and terminal event times. In: Science China Mathematics. 2016 ; Vol. 59, No. 12. pp. 2393-2410.
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Time-varying latent model for longitudinal data with informative observation and terminal event times. / Pei, Yan Bo; Du, Ting; Sun, Liu Quan.

In: Science China Mathematics, Vol. 59, No. 12, 01.12.2016, p. 2393-2410.

Research output: Contribution to journalArticle

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