We prove that the Bayesian information criterion approximates the Bayes factor for the multivariate logistic regression model for arbitrary and the unit information prior distributions and give the order of approximation. Further, we provide a framework in R for the Bayesian multivariate logistic regression. Using univariate and multivariate logistic regression models we develop a risk prediction model for five adverse pathological outcomes after prostatectomy based on electronic medical records.     «

We prove that the Bayesian information criterion approximates the Bayes factor for the multivariate logistic regression model for arbitrary and the unit information prior distributions and give the order of approximation. Further, we provide a framework in R for the Bayesian multivariate logistic regression. Using univariate and multivariate logistic regression models we develop a risk prediction model for five adverse pathological outcomes after prostatectomy based on electronic medical records...     »