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...

background: few investigations have focused on the patients with lupus nephritis (ln) and neuropsychiatric systemic lupus erythematosus (npsle). this study was aimed to investigate the clinical features, mortality, and the predictors for mortality of this group of patients. patients and methods: medical records were retrospectively reviewed in sun yat-sen memorial hospital from 1996 to 2012. da...

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...

background: peripherally inserted central catheter (picc) is commonly used in nursing for patients with leukemia. the purpose of this study was to investigate the risk factors of catheter-related infection (cri) in patients with leukemia and to provide some nursing strategies based on the results. methods: clinical data from 140 patients with leukemia between may 2014 and july 2016 in haiyang p...

background: in this study the overall, age and sex prevalence of diabetes mellitus and high blood pressure were calculated and the association among some risk factors and these two diseases, occurring simultaneously, were studied. methods: in this cross-sectional study 3000 isfahanian men and women between the ages of 15-64 were investigated by using stratified sampling method with multi-stage ...

We propose a new method for analysis of multivariate point pattern data observed in heterogeneous environment and with complex intensity functions. suggest semiparametric models the functions that depend on an unspecified factor common to all types points. This is example well suited analyzing spatial covariate effects events such as street crime activities occur urban environment. A multinomia...