Two-dimensional toxic dose and multivariate logistic regression, with application to decompression sickness

Bayesian multivariate logistic regression.

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 outcomes. In addition, difficulties arise when simple noninformative priors are chosen for the covariance parameters. Motivated by these problems, we propose a new type of multivariate logistic dis...

Tutorial on Multivariate Logistic Regression

Brain multi-infarct and decompression sickness

Scuba diving is associated with an important risk of devel­oping decompression sickness secondary to formation of gas bubbles inside the body. The latter is formed mainly by nitrogen in the body on the diver’s way to the surface (1,2). In some cases, it might injure the central nervous system. Several decompression cases that have been asso­ciated with neurologic symptoms are described in the l...

Logistic Regression for Multivariate Longitudinal Ordinal Data

Variable Selection for Multivariate Logistic Regression Models

In this paper, we use multivariate logistic regression models to incorporate correlation among binary response data. Our objective is to develop a variable subset selection procedure to identify important covariates in predicting correlated binary responses using a Bayesian approach. In order to incorporate available prior information, we propose a class of informative prior distributions on th...