Bayesian analyses of multivariate binary or categorical outcomes typically rely on probit or mixed effects logistic regression models that do not have a marginal logistic structure for the individual ...

Logistic regression analysis of high-dimensional data, such as natural language text, poses computational and statistical challenges. Maximum likelihood estimation often fails in these applications.

Models provided more accurate predictions of risk for sudden unexpected death in epilepsy than population-based estimates, according to results of a study that utilized a Bayesian logistic ...