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Joint Model of Clustered Failure Time Data with Informative Cluster Size

Authors
Yoo, HannaLee, JaewonKim, Yang-Jin
Issue Date
Jul-2011
Publisher
TAYLOR & FRANCIS INC
Keywords
EM algorithm; Informative cluster size; Joint model; Random effects
Citation
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, v.40, no.6, pp 808 - 817
Pages
10
Journal Title
COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION
Volume
40
Number
6
Start Page
808
End Page
817
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/13020
DOI
10.1080/03610918.2011.556289
ISSN
0361-0918
1532-4141
Abstract
In this article, we propose an estimation procedure to estimate parameters of joint model when there exists a relationship between cluster size and clustered failure times of subunits within a cluster. We use a joint random effect model of clustered failure times and cluster size. To investigate the possible association, two submodels are connected by a common latent variable. The EM algorithm is applied for the estimation of parameters in the models. Simulation studies are performed to assess the finite sample properties of the estimators. Also, sensitivity tests show the influence of the misspecification of random effect distributions. The methods are applied to a lymphatic filariasis study for adult worm nests.
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