JSM 2005 - Toronto

Abstract #304047

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Legend: = Applied Session, = Theme Session, = Presenter
Activity Number: 481
Type: Contributed
Date/Time: Thursday, August 11, 2005 : 8:30 AM to 10:20 AM
Sponsor: Biometrics Section
Abstract - #304047
Title: Weighted Estimating Equation for Case-control Study with Possibly Correlated Times
Author(s): Sangwook Kang*+ and Jianwen Cai
Companies: University of North Carolina, Chapel Hill and University of North Carolina, Chapel Hill
Address: 227B Jackson circle, Chapel Hill, NC, 27514, United States
Keywords: case-control study ; correlated failure times ; marginal proportional hazards model ; retrospective study ; weighted estimating equation
Abstract:

Case-control study design is an efficient and economic method to ascertain a large number of cases in a relatively short period of time. Failure time models from such retrospective studies have been studied in the literature. An important assumption for the conventional case-control studies is the statistical independence among subjects. However, in many biomedical studies, this assumption might not hold. In a retrospective dental study, it was of interest to evaluate the degree to which pulpal involvement affects tooth survival. Cases and controls were sampled and a nonpulpally-involved tooth was matched to the pulpally-involved within each subject. The survival times of the matched teeth within subjects could be correlated and thus the independent assumption might not be valid. We study the marginal proportional hazards regression model for this type of correlated case-control data. We propose a weighted estimating equation approach for estimating the parameters in the model. Different types of weights also are considered for improving efficiency. Asymptotic and finite sample properties are investigated. The proposed method is applied to the aforementioned dental study.


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Revised March 2005