Bayesian analysis of case-control studies.

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.