Markov Chain Monte Carlo

Example 8.18: A Monte Carlo experiment

December 13, 2010 | Ken Kleinman

In recent weeks, we've explored methods to fit logistic regression models when a state of quasi-complete separation exists. We considered Firth's penalized likelihood approach, exact logistic regression, and Bayesian models using Markov chain Monte Ca...
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Example 8.17: Logistic regression via MCMC

December 6, 2010 | Ken Kleinman

In examples 8.15 and 8.16 we considered Firth logistic regression and exact logistic regression as ways around the problem of separation, often encountered in logistic regression. (Re-cap: Separation happens when all the observations in a category sha...
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