JSM 2004 - Toronto

Abstract #302218

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Activity Number: 413
Type: Contributed
Date/Time: Thursday, August 12, 2004 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #302218
Title: Analysis of Case-cohort Data with Accelerated Failure-time Model
Author(s): Lan Kong*+
Companies: University of Pittsburgh
Address: Dept. of Biostatistics, Pittsburgh, PA, 15261,
Keywords: accelerated failure-time model ; case-cohort design ; survival data
Abstract:

In a case-cohort design, covariates are assembled only for a subcohort that is randomly selected from the entire cohort, and any additional cases outside the subcohort. This design is appealing for large cohort studies of rare disease, especially when the exposures of interest are expensive to ascertain for all the subjects. We propose a statistical method for fitting the case-cohort data with a semiparametric accelerated failure time model that interprets the covariates effects as to accelerate or decelerate the time to failure. Asymptotic properties of the proposed estimators are developed and the finite sample properties are assessed via simulation studies. The efficiency of case-cohort estimators relative to the full cohort estimators is also investigated in the simulation studies.

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