Summary In this report, we introduce an R package KMgene for performing gene-based association tests for familial, multivariate or longitudinal traits using kernel machine (KM) regression under a generalized linear mixed model (GLMM) framework. Extensive simulations were performed to evaluate the validity of the approaches implemented in KMgene. Availability http://cran.r-project.org/web/pack...

Modeling individual heterogeneity in capture probabilities has been one of the most challenging tasks in capture-recapture studies. Heterogeneity in capture probabilities can be modeled as a function of individual covariates, but correlation structure among capture occasions should be taking into account. A proposed generalized estimating equations (GEE) and generalized linear mixed modeling (G...

Linear mixed models (LMM) and generalized linear mixed models (GLMM) are widely used in regression analyses. With the variance structure dependent on the random effects with their variance components, the parameter estimation of LMMs is more complicated than linear models (LM). Generally, we use maximum likelihood estimation (MLE) together with some procedure such as derivative free optimizatio...

The interconversion of hexose-6-phosphate and hexose-1-phosphate can be directly analyzed by high-performance anion-exchange chromatography coupled with an electrochemical detector (HPAEC-PAD). Thus, this method can be used to measure the activities of N-acetylglucosamine-phosphate mutase (AGM), glucosamine-phosphate mutase (GlmM) and phosphoglucomutase (PGM), which are the members of α-D-phosp...

ABSTRACT
 Premarital sexual behavior is that carried out between men and women without legal marriage. As the number of premarital sex increases, efforts need to take. One can do identify main factors contributing reducing or increasing by a Regression model. In context behavior, environmental influences cannot be ignored. GLMM used model data grouped into certain Groups, include environme...

With the rising incidence of type II diabetes mellitus (DM II) worldwide, methods to identify high-risk geographical areas have become increasingly important. In this comprehensive review following Cochrane Collaboration guidelines, we outline spatial methods, outcomes and covariates used in all spatial studies involving outcomes of DM II. A total of 1894 potentially relevant citations were ide...

Generalized linear mixed models (GLMM) form a very general class of random effects models for discrete and continuous responses in the exponential family. They are useful in a variety of applications. The traditional likelihood approach for GLMM usually involves high dimensional integrations which are computationally intensive. In this work, we investigate the case of binary outcomes analyzed u...

During acute stroke care, rehabilitation usage may be influenced by patient- and hospital-related factors. We would like to identify patient- and hospital-level determinants of population-level inpatient rehabilitation usage associated with acute stroke care.From data obtained from the claim information from the National Health Insurance Administration (NHIA) in Taiwan (2009-2011), we enrolled ...