Year: 2015
Author: Qixian Zhang, Jicai Liu, Qiang Guan
Communications in Mathematical Research , Vol. 31 (2015), Iss. 2 : pp. 97–107
Abstract
Recurrent event gap times data frequently arise in biomedical studies and often more than one type of event is of interest. To evaluate the effects of covariates on the marginal recurrent event hazards functions, there exist two types of hazards models: the multiplicative hazards model and the additive hazards model. In the paper, we propose a more flexible additive-multiplicative hazards model for multiple type of recurrent gap times data, wherein some covariates are assumed to be additive while others are multiplicative. An estimating equation approach is presented to estimate the regression parameters. We establish asymptotic properties of the proposed estimators.
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Journal Article Details
Publisher Name: Global Science Press
Language: English
DOI: https://doi.org/10.13447/j.1674-5647.2015.02.01
Communications in Mathematical Research , Vol. 31 (2015), Iss. 2 : pp. 97–107
Published online: 2015-01
AMS Subject Headings: Global Science Press
Copyright: COPYRIGHT: © Global Science Press
Pages: 11
Keywords: additive-multiplicative hazards model estimating equation gap time multiple recurrent event data semi-parametric regression model.