title: Regression analysis of mixed panel count data with dependent terminal events.
abstract: Event history studies are commonly conducted in many fields, and a great deal of literature has been established for the analysis of the two types of data commonly arising from these studies: recurrent event data and panel count data. The former arises if all study subjects are followed continuously, while the latter means that each study subject is observed only at discrete time points. In reality, a third type of data, a mixture of the two types of the data earlier, may occur and furthermore, as with the first two types of the data, there may exist a dependent terminal event, which may preclude the occurrences of recurrent events of interest. This paper discusses regression analysis of mixed recurrent event and panel count data in the presence of a terminal event and an estimating equation-based approach is proposed for estimation of regression parameters of interest. In addition, the asymptotic properties of the proposed estimator are established, and a simulation study conducted to assess the finite-sample performance of the proposed method suggests that it works well in practical situations. Finally, the methodology is applied to a childhood cancer study that motivated this study. Copyright © 2017 John Wiley & Sons, Ltd.
authors.affiliation: Department of Statistics, University of Missouri, Columbia, MO, U.S.A.
authors.forename: Guanglei
authors.initials: G
authors.lastname: Yu
authors.affiliation: Biostatistics and Epidemiology Research Design, University of Texas Health Science Center at Houston, Houston, TX, U.S.A.
authors.forename: Liang
authors.initials: L
authors.lastname: Zhu
authors.affiliation: Department of Mathematics and Statistics, University of North Carolina at Charlotte, Charlotte, NC, U.S.A.
authors.forename: Yang
authors.initials: Y
authors.lastname: Li
authors.affiliation: Department of Statistics, University of Missouri, Columbia, MO, U.S.A.
authors.forename: Jianguo
authors.identifier: 0000-0002-6946-671X
authors.initials: J
authors.lastname: Sun
authors.affiliation: Department of Epidemiology and Cancer Control, St. Jude Children's Research Hospital, Memphis, TN, U.S.A.
authors.forename: Leslie L
authors.initials: LL
authors.lastname: Robison
mesh_terms: D056808:Biostatistics; D002648:Child; D015331:Cohort Studies; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D005260:Female; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D015233:Models, Statistical; D009369:Neoplasms / Q000150:complications / Q000401:mortality / Q000628:therapy; D011247:Pregnancy; D012044:Regression Analysis; D017741:Survivors / Q000706:statistics & numerical data
keywords: estimating equation; marginal modeling; mixed data; terminal event