generalized linear mixed model (GLMM)
Comparison of power values in generalized linear mixed model (glmm) under the different estimation methods
... as generalized linear mixed models (GLMM), are widely commonly frequently used in longitudinal data ...the generalized linear models. Linear mixed models ...are ...
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Quasi Monte Carlo Estimation in Generalized Linear Mixed Model with Correlated Random Effects
... OALibJ | DOI:10.4236/oalib.1102002 2 October 2015 | Volume 2 | e2002 (one in summer 1986 and two in fall 1986). The question of interest is to determine whether or not certain bar- riers to interbreeding have evolved ...
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Establishment of a new initial dose plan for vancomycin using the generalized linear mixed model
... best model in predicting VCM ...best model allowed that predictive accuracy was improved ...best model predicted the Css-trough with high accuracy, the GLMMPV was close to the BEPV (the absolute ...
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Meta-analysis of binary outcomes via generalized linear mixed models: a simulation study
... generalized linear mixed model with an exact noncen- tral hypergeometric-normal likelihood was suggested as an alternative to the standard random effects ...cept model resulted in the ...
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Characterizing the Genetic Structure of Populations
... of generalized linear mixed model and kernel methods for class ...the generalized linear mixed model (GLMM) and support vector machine (SVM) and the relationship ...
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Bayesian mapping of pulmonary tuberculosis in Antananarivo, Madagascar
... a generalized linear mixed model (GLMM) was developed to produce smooth risk maps of TB and to model relationships between TB new cases and national TB control program ...
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Magnetic stimulation for stress urinary incontinence: study protocol for a randomized controlled trial
... a linear mixed model (LMM) and a generalized linear mixed model (GLMM) that do not re- quire formal imputation methods will be used ...
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Effect of blood meal digestion and DNA extraction protocol on the success of blood meal source determination in the malaria vector Anopheles atroparvus
... A generalized linear mixed model (GLMM) with bino- mial distributed error and logit link function was used to test for the effect of the blood meal digestion status and the DNA extraction ...
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Joint longitudinal data analysis in detecting determinants of CD4 cell count change and adherence to highly active antiretroviral therapy at Felege Hiwot Teaching and Specialized Hospital, North-west Ethiopia (Amhara Region)
... reviewing Generalized Linear Mixed Model (GLMM) approach that can be extended for multivariate longitudinal data by assuming separate random effect on each outcome variable, and then com- ...
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Power analysis for generalized linear mixed models in ecology and evolution
... The generalized linear mixed model (GLMM) is an analysis framework widely used in EE that can accommodate these complexities. GLMMs allow modelling of diverse response distributions and ...
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Some Inference Problems in Clustered (Longitudinal) Count Data with Over-dispersion
... Tables 3.2 and 3.3 display the estimated Type I error for the four tests when data are simulated from the negative binomial distribution under the hypothesis of homo- geneity with common over-dispersion parameter c. From ...
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Relative importance of climatic, geographic and socio economic determinants of malaria in Malawi
... a generalized linear mixed model (GLMM) [54] was ...the model to capture the impact of unknown/unobserved confounding factors, such as variations in health care provision, unequally ...
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Active touch in sea otters: in air and underwater texture discrimination thresholds and behavioral strategies for paws and vibrissae
... a generalized linear mixed model (GLMM) analysis that included facial skin contact as a binary categorical fixed effect to assess whether the type of contact with her vibrissal region ...
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Predicting the multi-domain progression of Parkinson’s disease: a Bayesian multivariate generalized linear mixed-effect model
... past, mixed-effect models were used commonly for longitudinal data analysis [8–10], however, these were based only on univariate ...multivariate model is straightforward mathematically under the framework ...
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A sequential reduction method for inference in generalized linear mixed models
... a generalized linear mixed model involves an integral which may be of very high ...the model is sparse, in that there is only a small amount of information available on each random ...
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Detecting treatment-subgroup interactions in clustered data with generalized linear mixed-effects model trees
... the model, prompting the need for a mixed-effects model ...In linear models, ignoring the clus- tered structure may lead, for example, to biased inference due to underestimated standard errors ...
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Bayesian Generalized Linear Mixed Modeling of Breast Cancer
... Prognostic factors for breast cancer especially in Western Nigerian had been well studied; there is paucity of data on population-based research. In addition, few studies have used Bayesian to estab- lish the prognostic ...
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Bayesian Inference for Spatial Beta Generalized Linear Mixed Models
... beta generalized linear mixed model with a new prior elicitation for the spatial dependence structure, emphasizing on small values of the spatial range parameter and small sample ...regression ...
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Modelling spatial processes of infectious diseases
... spatio-temporal generalized linear mixed model to include both climate and non-climate effects on malaria incidence in Malawi while implicitly accounting for spatial dependency and the role of ...
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Comparison of linear mixed effects model and generalized model of the tree height diameter relationship
... a linear mixed effects model and generalized model were com- ...the mixed model two versions of calibration were ...intervals. Generalized model is the ...
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