This article will cover the basic theory behind logistic regression, the types of logistic regression, when to use them and take you through a worked example.

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 ...

Advanced methodologies include robust permutation tests for correlation and regression coefficients, which actively address issues of Type I errors and directional misinterpretations in bivariate ...

Multivariate adaptive regression splines (MARS) have useful features to effectively reduce the number of terms in a model.

For bivariate normal regression models our approach is identical to the usual procedure for combining intra- and interblock information. In general the approaches are not the same. Detailed ...