JSM 2005 - Toronto

Abstract #304526

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Activity Number: 144
Type: Contributed
Date/Time: Monday, August 8, 2005 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #304526
Title: Case-cohort Designs and Analysis for Clustered Failure Time Data
Author(s): Shou-En Lu*+ and Joanna H. Shih
Companies: University of Medicine and Dentistry of New Jersey and National Cancer Institute
Address: 683 Hoes Lane West, Piscataway, NJ, 08854, United States
Keywords: Cost-effective design ; Proportional hazards ; Pseudo-likelihood score function
Abstract:

Case-cohort design is an efficient and economical way to study risk factors for infrequent disease in a large cohort. It involves the collection of covariate data from all failures ascertained throughout the entire cohort and from the members of a random subcohort selected at the onset of followup. In the literature, the case-cohort design has been studied extensively, but was exclusively considered for univariate failure time data. In this paper, we propose case-cohort designs adapted to multivariate failure time data. An estimation procedure with the independence working model approach is used to estimate the regression parameters in the marginal proportional hazards model, where the correlation structure between individuals within a cluster is left unspecified. Statistical properties of the proposed estimators are developed. The performance of the proposed estimators and comparisons of statistical efficiencies are investigated with simulation studies. A data example from a child vitamin A supplementation trial in Nepal is used to illustrate the proposed methodology.

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Revised March 2005