A Bayesian approach to the estimation of an odds ratio from case-control data is considered. The exact posterior density of the odds ratio and its moments are derived. A log-normal approximation to the density is shown to be adequate for practical purposes. Mechanisms for setting prior parameters are discussed and some examples are presented.
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Richard Marshall (1988) studied this question.
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