JSM 2004 - Toronto

Abstract #300417

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Activity Number: 55
Type: Contributed
Date/Time: Sunday, August 8, 2004 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #300417
Title: Analyses of Case-control Studies Using Bayesian Approach
Author(s): Kuang Fu Cheng*+
Companies: National Central University
Address: Graduate Institue of Statistics, Chungli, International, , Taiwan
Keywords: Bayesian model ; case-control study ; logistic regression ; profile likelihood ; risk parameter
Abstract:

We developed a model and a simple computation scheme for a Bayesian approach to inference in case-control studies.The model proposed in this paper is based on a profile likelihood of exposure given disease. This profile likelihood is derived from a logistic regression model and the same as the binomial likelihood but with an offset. Further, its intercept parameter is a function of risk parameters.The properties of the suggested priors are discussed and the method can be applied to both discrete and continous covariates.The approach is illustrated with two examples, the first involving a dataset concerning the association between PL-A2 polymorphism and cronary heart disease, and the second based on a dataset comprising two case-control studies of wire codes, magnetic fields, and children's leukemia.

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