Department Colloquium
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Speaker:
Liang Zhu Department of Statistics University of Missouri-Columbia Time and Place: 2:00 p.m., Tuesday, January 29, 2008, 14 Allen Title: Regression Analysis of Multivariate Recurrent Event Data with Time-varying Covariate Effects Abstract: Recurrent event data occur in many fields and many approaches have been proposed for their analyses (Andersen et al., 1993; Cook and Lawless, 1996, 2007; Cook et al., 1996; Lawless and Nadeau, 1995; Lin et al., 2000). However, most of the available methods only allow time-independent covariate effects and sometimes this may not be true as, for example, a treatment effect may vary with time. In this paper, we consider the analysis of multivariate recurrent event data in which some covariate effects may be time-dependent. For the problem, we present some marginal models for the underlying counting processes and estimating equation-based inference approaches are developed. The asymptotic properties of the proposed estimates are established and their finite sample properties are evaluated through simulation studies. Also some procedures are presented for testing the time-dependence of covariate effects, and the proposed methodology is applied to a set of multivariate recurrent event data arising from a study of the patients with the end-stage renal disease. Refreshments: Following the colloquium, 467 Allen |