Aspirin Protects Against Barrett's Esophagus in a Multivariate Logistic Regression Analysis

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

Predictive factors for loneliness in female high school students; an unvariate and multivariate logistic regression analysis

Background and aims: Loneliness typically includes anxious feelings. It is particularly relevant to adolescence period. It has effect on physical and mental health. The present study aimed to identify the predictive factors of loneliness among high schools female students. Methods: A cross– sectional survey was carried out among high schools female students in Ilam during the academic year 201...

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...