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
Present address: Centers for Disease Control, Atlanta, GA 30333, U.S.A. Computer programs to implement the methods in this paper may be obtained by writing to Dr. Parker.
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© 1996 Springer Science+Business Media New York
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Zelen, M., Parker, R.A. (1996). Case-Control Studies and Bayesian Inference. In: Lee, J.C., Johnson, W.O., Zellner, A. (eds) Modelling and Prediction Honoring Seymour Geisser. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-2414-3_12
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DOI: https://doi.org/10.1007/978-1-4612-2414-3_12
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