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Joint model for bivariate zero-inflated recurrent event data with terminal events

Authors
Kim, Yang-Jin
Issue Date
Mar-2021
Publisher
Taylor and Francis Ltd.michael.wagreich@univie.ac.at
Keywords
Bivariate recurrent event; cure rate model; frailty effect; joint model; piecewise baseline; terminal event
Citation
Journal of Applied Statistics, v.48, no.4, pp 738 - 749
Pages
12
Journal Title
Journal of Applied Statistics
Volume
48
Number
4
Start Page
738
End Page
749
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/1566
DOI
10.1080/02664763.2020.1744539
ISSN
0266-4763
1360-0532
Abstract
Bivariate recurrent event data are observed when subjects are at risk of experiencing two different type of recurrent events. In this paper, our interest is to suggest statistical model when there is a substantial portion of subjects not experiencing recurrent events but having a terminal event. In a context of recurrent event data, zero events can be related with either the risk free group or a terminal event. For simultaneously reflecting both a zero inflation and a terminal event in a context of bivariate recurrent event data, a joint model is implemented with bivariate frailty effects. Simulation studies are performed to evaluate the suggested models. Infection data from AML (acute myeloid leukemia) patients are analyzed as an application.
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