Tag: Markov Chain Monte Carlo

Example 8.18: A Monte Carlo experiment

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…

Example 8.17: Logistic regression via MCMC

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…