The aim of this research was to study whether and to what extent Chinese cagA-positive Helicobacter pylori isolates differ from those in The Netherlands. Analysis of random amplified polymorphic DNA (RAPD)-PCR-assessed DNA fingerprints of chromosomal DNA of 24 cagA-positive H. pylori isolates from Dutch (n = 12) and Chinese (n = 10) patients yielded the absence of clustering. Based on compariso...

In Streptococcus pyogenes, we have described the two-component signal transduction sensor and regulatory systems, CovR/S affect the antimicrobial susceptibility including penicillin G before. But the mechanism how two-component sensor protein CovS modulates penicillin G susceptibility has not been elucidated till date. This study aimed to determine how the CovS affected penicillin G susceptibil...

Maximum likelihood estimation for Generalized Linear Mixed Models (GLMM), an important class of statistical models with substantial applications in epidemiology, medical statistics, and many other fields, poses significant computational difficulties. In this article, we use data cloning, a simple computational method that exploits advances in Bayesian computation, in particular the Markov Chain...

The linear mixed effects model with normal errors is a popular model for the analysis of repeated measures and longitudinal data. The generalized linear model is useful for data that have non-normal errors but where the errors are uncorrelated. A descendant of these two models generates a model for correlated data with non-normal errors, called the generalized linear mixed model (GLMM). Frequen...

A default strategy for fully Bayesian model determination for GLMMs is considered which addresses the two key issues of default prior specification and computation. In particular, the concept of unit information priors is extended to the parameters of a GLMM. A combination of MCMC and Laplace approximations is used to compute approximations to the posterior model probabilities to find a subset ...

This paper examined the robustness of generalized linear mixed model (GLMM). The GLMM estimates fixed and random effects, it is especially useful when dependent variable binary. It also involves repeated measures, since can correlation. present study used Monte Carlo simulation to analyze empirical Type I error rates GLMMs in split-plot designs. variables manipulated were sample size, group num...

Background and Objective: Helicobacter Pylori (H. pylori) is one of the reasons for the gastric inflammation and peptic ulcers. It is a predisposing factor of gastric adenocarcinoma. Cytotoxin A encoded by the cagA gene is one of the major virulence factors in bacterial pathogenicity, which is of special importance due to genetic diversity in different geographical areas. The purpose of this st...

Background: Large-scale cross-national studies designed to measure student achievement use different social, cultural, economic and other background variables to explain observed differences in that achievement. Prior to their inclusion into a prediction model, these variables are commonly scaled into latent background indices. To allow cross-national comparisons of the latent indices, measurem...