Results 61 to 70 of about 631,292 (281)
A general approach to mixed effects modeling of residual variances in generalized linear mixed models [PDF]
Genetics Selection Evolution, 2005 We propose a general Bayesian approach to heteroskedastic error modeling for generalized linear mixed models (GLMM) in which linked functions of conditional means and residual variances are specified as separate linear combinations of fixed and random effects.
Kizilkaya Kadir, Tempelman Robert J
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A Note on the Identifiability of Generalized Linear Mixed Models [PDF]
, 2014 I present here a simple proof that, under general regularity conditions, the standard parametrization of generalized linear mixed model is identifiable.
Labouriau, Rodrigo
core
Model-Based Geostatistics for Prevalence Mapping in Low-Resource Settings [PDF]
, 2015 In low-resource settings, prevalence mapping relies on empirical prevalence data from a finite, often spatially sparse, set of surveys of communities within the region of interest, possibly supplemented by remotely sensed images that can act as proxies ...
Diggle, Peter J., Giorgi, Emanuele
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman +8 more
wiley +1 more source
Global and local distance-based generalized linear models [PDF]
, 2016 This paper introduces local distance-based generalized linear models. These models extend (weighted) distance-based linear models first to the generalized linear model framework. Then, a nonparametric version of these models is proposed by means of local
Boj, Eva +4 more
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Nonlocal priors for Bayesian variable selection in generalized linear models and generalized linear mixed models and their applications in biology data [PDF]
from short.pdf file.Dissertation supervisors: Dr. Marco A. R. Ferreira and Dr. Tieming Ji.Includes vita.A crucial problem in building a generalized linear model (GLM) or a generalized linear mixed model (GLMM) is to identify which subset of predictors ...
Wu, Ho-Hsiang, 1984-
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Introduction Pulmonary dysfunction and sleep abnormalities are common in children with sickle cell disease (SCD) and are associated with worse clinical outcomes. Whether spirometry abnormalities are associated with polysomnography (PSG) findings remains unclear.
Ammar Saadoon Alishlash +4 more
wiley +1 more source
Misspecification in Generalized Linear Mixed Models and Its Impact on the Statistical Wald Test
Applied Sciences, 2023 Generalized linear mixed models are commonly used in repeated measurement studies and account for the dependence between observations obtained from the same experimental unit.
Diana Arango-Botero +2 more
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The R2D2 Prior for Generalized Linear Mixed Models
The American StatisticianIn Bayesian analysis, the selection of a prior distribution is typically done by considering each parameter in the model. While this can be convenient, in many scenarios it may be desirable to place a prior on a summary measure of the model instead.
Eric Yanchenko +2 more
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Generalized Linear Mixed-Effects Models for the Analysis of Odor Detection Data [PDF]
, 2007 Olfactory detection has become a science of interest. Seven individuals’ odor detection abilities are explored and an attempt is made to characterize all subjects with one generalized linear mixed effects model.
Hall, Sandra +3 more
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