Case-Control Studies and Bayesian Inference

M. Zelen and R. A. Parker
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M. Zelen: Harvard School of Public Health and Dana-Farber Cancer Institute

A chapter in Modelling and Prediction Honoring Seymour Geisser, 1996, pp 193-203 from Springer

Abstract: Summary We outline the methods of Bayesian inference for applications to case-control studies. These methods appear as the natural way of making inferences, since much of the controversy that surrounds a specific case-control study is subjective. We derive conjugate prior distributions of exposure, posterior distributions of the ratio of the odds of being incident with a disease both with and without exposure to a potential causal agent, and convenient approximations. In particular, we show how one may carry out ‘case-control studies’ without necessarily having a control group. We illustrate these ideas with the data that first showed the relationship between in utero exposure to diethylstilbestrol and cancer of the vagina in young girls

Keywords: Case-control; studies; Bayesian; inference; Epidemiology; methods; Cancer; of; the; vagina (search for similar items in EconPapers)
Date: 1996
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4612-2414-3_12

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DOI: 10.1007/978-1-4612-2414-3_12

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