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.

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 ...

What resources are available to help me Bayesian methods in R? Before you show up: The main focus of this short course will be the Bayesian aspect of it. That means this is a slightly more advanced ...

What is the independent effect of county-level poverty on preterm birth risk? A multilevel logistic regression approach was used to estimate this effect in a large population-based birth registry.