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Markov chain Monte Carlo exact inference for binomial and multinomial logistic regression models
Authors:Forster  Jonathan J  McDonald  John W  Smith  Peter W F
Institution:(1) Department of Mathematics, University of Southampton, Southampton, SO17 1BJ, UK;(2) Department of Social Statistics, University of Southampton, Southampton, SO17 1BJ, UK
Abstract:We develop Metropolis-Hastings algorithms for exact conditional inference, including goodness-of-fit tests, confidence intervals and residual analysis, for binomial and multinomial logistic regression models. We present examples where the exact results, obtained by enumeration, are available for comparison. We also present examples where Monte Carlo methods provide the only feasible approach for exact inference.
Keywords:conditional inference  exact confidence interval  exact test  goodness-of-fit test  logistic regression  Markov chain Monte Carlo  Metropolis-Hastings algorithm  residual analysis
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