STATISTICA NEERLANDICA, cilt.62, sa.4, ss.405-424, 2008 (SCI-Expanded)
In this paper, Bayesian estimation of log odds ratios over R x C and 2 x 2 x K contingency tables is considered, which is practically reasonable in the presence of prior information. Likelihood functions for log odds ratios are derived for each table structure. A prior specification strategy is proposed. Posterior inferences are drawn using Gibbs sampling and Metropolis-Hastings algorithm. Two numerical examples are given to illustrate the matters argued.