generalized linear mixed-effects model
Detecting treatment-subgroup interactions in clustered data with generalized linear mixed-effects model trees
... the generalized linear mixed-effects model tree (GLMM tree) algorithm, which allows for the detection of treatment-subgroup inter- actions, while accounting for the clustered structure ...
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Some Inference Problems in Clustered (Longitudinal) Count Data with Over-dispersion
... the generalized linear mixed effects model and the negative binomial mixed effects model and used maximum likelihood estimates and empirical Bayes estimates of the ...
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Early winners and losers in dialysis center pay for performance
... a generalized linear mixed effects model to examine as- sociations between each outcome and dialysis facility characteristics (facility type, length of operation, total number of ...
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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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Spatial variability in floodplain sedimentation: the use of generalized linear mixed effects models
... any model can be assumed to have a homoscedastic within- group error structure, which mean that all within-groups er- rors assume the same ...general model al- lows for different variances between study ...
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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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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 ...study effects, were ...
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Adolescent girls and young women living with HIV: preconception counseling strategies
... the effects of the experimental conditions versus control. Generalized linear mixed models (GLMMs) in combination with an unstructured covariance matrix – to model the dependency ...
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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 ...
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Generalized linear mixed models for count data
... traditional linear statistical models (LMs) have been developed primarily for normally distributed ...The generalized linear models (GLMs [28]) extend LMs to include a broader class of of ...
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Comparison of linear mixed effects model and generalized model of the tree height diameter relationship
... the generalized height-diameter model. In this model, Šmelko et ...of mixed model was carried out in eight ...local model calculated by nonlinear regression and also with the ...
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Longitudinal height-diameter curves for Norway spruce, Scots pine and silver birch in Norway based on shape constraint additive regression models
... simple mixed models are applied which allow for local calibration of a mean population relationship and thus local prediction ...the effects of site or competition on the height-dbh rela- ...tionship. ...
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Small Area Estimation Under Linear and Generalized Linear Mixed Models With Time and Area Effects
... a linear mixed model with independent and identically distributed (iid) area effects and corresponding iid time ...The model in this special case ...
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Brood sex ratio in the Yellow-bellied Prinia (Prinia flaviventris)
... A generalized linear model with binomial error structure and a general linear mixed model (when the response has a normal distribution) were used to analyze the effects of ...
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Fitting parametric random effects models in very large data sets with application to VHA national data
... random effects models (REM) are becoming popular for patient level ...via generalized linear mixed modeling using currently available standard procedures in SAS ...
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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 ...random effects. The inclusion of random effects introduces an extra source of variability (a latent effect) into the ...
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Establishment of a new initial dose plan for vancomycin using the generalized linear mixed model
... dose setting must be determined by the renal function of the patient. Therefore, the initial dose plan for VCM is set using the population mean method (PMM), which uses mean values for population pharmacokinetics ...
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Characterizing the Genetic Structure of Populations
... Under the random population assumption, all populations originate from single ancestral population. The sampling processes are shown in Figure 2.1. This initial ref- erence population is noninbred, essentially infinite ...
113
Simulation Study on the Effects of Ignoring Clustering in Regression Analysis
... When computing p-values and standard error estimates for the fixed effect in LME and LM it becomes clear that the values do not differ from each other, which was probably caused by the fact that the groups did not differ ...
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Tanoak (Notholithocarpus densiflorus) Coarse Root Morphology: Prediction Models for Volume and Biomass of Individual Roots
... in mixed evergreen forests of California and Oregon, ...taper model gives distal- and proximal-end diameters for calculation of volume for segments of root tapering between ...
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