Regression analysis of multivariate recurrent event data with time-varying covariate effects

Liuquan Sun, Liang Zhu and Jianguo Sun

Journal of Multivariate Analysis, 2009, vol. 100, issue 10, 2214-2223

Abstract: Recurrent event data occur in many fields and many approaches have been proposed for their analyses (Andersen et al. (1993)Â [1]; Cook and Lawless (2007)Â [3]). However, most of the available methods allow only time-independent covariate effects, and sometimes this may not be true. In this paper, we consider regression analysis of multivariate recurrent event data in which some covariate effects may be time-dependent. For the problem, we employ the marginal modeling approach and, especially, estimating equation-based inference procedures are developed. Both asymptotic and finite-sample properties of the proposed estimates are established and an illustrative example is provided.

Keywords: Event; history; study; Marginal; models; Recurrent; event; data; Time-varying; coefficients (search for similar items in EconPapers)
Date: 2009
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Citations: View citations in EconPapers (5)

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