generalized linear mixed model
Modeling psychophysical data at the population-level: the generalized linear mixed model
... two-level model for the analysis of the behavior of the single subject and the ...classical model has two main ...the model does not easily allow assessing the goodness of ...the Generalized ...
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A Skew-Normal Copula-Driven Generalized Linear Mixed Model for Longitudinal Data
... The EM-algorithm has been used widely in literature under different naming conventions. Nevertheless, one of the earliest explanations of such method was published by Dempster et al. [1977], where they generalized ...
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Quasi Monte Carlo Estimation in Generalized Linear Mixed Model with Correlated Random Effects
... However, these assumptions may not always hold due to the likely correlation of random effects, for instance. At least, the independence assumption of random effects should be testable. Misspecification of random effects ...
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Establishment of a new initial dose plan for vancomycin using the generalized linear mixed model
... best model we included the BUN/adjusted SCr (fixed effect), which corrected the overestimated renal function in the CG formula and ultimately increased the VCM Css-trough prediction ...best model created in ...
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Comparison of power values in generalized linear mixed model (glmm) under the different estimation methods
... for generalized linear models with non-zero within-cluster correlation that are common in epidemiological and observational studies in which the covariate of interest varies over time and is often measured ...
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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
... regression model is reviewed. Then, the beta generalized linear mixed model with spatial random effects is introduced in section ...with model fitting by using Gibbs sampling ...
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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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Topics in generalized linear mixed models and spatial subgroup analysis
... regression model under improper and proper priors on the regression ...For linear models, Jones and Hobert (2004) and Tan and Hobert (2009) analyzed the Gibbs sampler for one-way random effects models under ...
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A Hybrid Bayesian Laplacian Approach for Generalized Linear Mixed Models
... the model parameters of GLLMs by iteratively using a lineariza- tion technique which employs Taylor expansions to approximate the initial generalized linear mixed model with a ...
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Local influence diagnostics for generalized linear mixed models with overdispersion
... the linear mixed model the approach leads to easily interpretable and computationally convenient expressions, not only highlighting influential subjects, but also which aspect of their profile leads ...
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Bayesian and frequentist methods for approximate inference in generalized linear mixed models
... the Generalized Linear Mixed Model setting are often nonexistent due to the fact that they involve integration of a nonlinear function over a high-dimensional ...
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Fitting Generalized Linear Mixed Models For Point-Referenced Spatial Data
... A generalized linear mixed model was fitted to the infant mortality data in Mali using the three estimation approaches discussed in the methodology-section, PQL, MCMC and SIR together with an ...
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Generalized Linear Mixed Models
... of model terms can depend on the structure of the random ...reasonable model for the random effects as well as for the fixed ...the model and selects between the possible models of random effects ...
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Topics On Generalized Linear Mixed Models
... meeting linear constraints can also be ap- proximated based on a GLM ...logistic model for binary observations instead of the geometric model discussed ...a model of the form ...
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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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Numerically Stable Approximate Bayesian Methods for Generalized Linear Mixed Models and Linear Model Selection
... Bayesian model selection is a powerful set of techniques for model ...the model space is complex and the optimal model is difficult for statisticians to manually ...Bayesian model se- ...
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Generalized linear mixed models for count data
... the model will not tell much difference between these two ...the generalized Poisson model [12], which theoretically allows us to construct any possible discrete probability ...
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Actuarial Statistics With Generalized Linear Mixed Models
... Over the last decade generalized linear models (GLMs) became a common statistical tool to model actuarial data. Starting from the actuarial illustrations in the standard text by McCullagh & ...
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The performance of estimation methods for generalized linear mixed models
... A background to the GLMM and inferential issues is provided in Chapter 1, with the- oretical material and alternative approaches for modelling correlation in non-normal data, such as the generalized estimating ...
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