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Additive mixed effect model for recurrent gap time data
Ding, Jieli1; Sun, Liuquan2
2017-04-01
Source PublicationLIFETIME DATA ANALYSIS
ISSN1380-7870
Volume23Issue:2Pages:223-253
AbstractGap times between recurrent events are often of primary interest in medical and observational studies. The additive hazards model, focusing on risk differences rather than risk ratios, has been widely used in practice. However, the marginal additive hazards model does not take the dependence among gap times into account. In this paper, we propose an additive mixed effect model to analyze gap time data, and the proposed model includes a subject-specific random effect to account for the dependence among the gap times. Estimating equation approaches are developed for parameter estimation, and the asymptotic properties of the resulting estimators are established. In addition, some graphical and numerical procedures are presented for model checking. The finite sample behavior of the proposed methods is evaluated through simulation studies, and an application to a data set from a clinic study on chronic granulomatous disease is provided.
KeywordAdditive mixed effect model Estimating equation Gap times Random effects Recurrent event data
DOI10.1007/s10985-015-9341-0
Language英语
Funding ProjectNational Natural Science Foundation of China[11231010] ; National Natural Science Foundation of China[11101314] ; National Natural Science Foundation of China[11171330] ; Key Laboratory of RCSDS, CAS[2008DP173182] ; BCMIIS
WOS Research AreaMathematics
WOS SubjectMathematics, Interdisciplinary Applications ; Statistics & Probability
WOS IDWOS:000396792600004
PublisherSPRINGER
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Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/25214
Collection应用数学研究所
Affiliation1.Wuhan Univ, Sch Math & Stat, Wuhan 430072, Hubei, Peoples R China
2.Chinese Acad Sci, Inst Appl Math, Acad Math & Syst Sci, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Ding, Jieli,Sun, Liuquan. Additive mixed effect model for recurrent gap time data[J]. LIFETIME DATA ANALYSIS,2017,23(2):223-253.
APA Ding, Jieli,&Sun, Liuquan.(2017).Additive mixed effect model for recurrent gap time data.LIFETIME DATA ANALYSIS,23(2),223-253.
MLA Ding, Jieli,et al."Additive mixed effect model for recurrent gap time data".LIFETIME DATA ANALYSIS 23.2(2017):223-253.
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