Results 1 to 10 of about 489,917 (280)

Generalized linear mixed-effects models for studies using different sets of stimuli across conditions [PDF]

open access: yesFrontiers in Psychology, 2022
A non-repeated item (NRI) design refers to an experimental design in which items used in one level of experimental conditions are not repeatedly used at other levels.
ShunCheng He, Wooyeol Lee
doaj   +2 more sources

Power analysis for RNA-Seq differential expression studies using generalized linear mixed effects models [PDF]

open access: yesBMC Bioinformatics, 2020
Background Power analysis becomes an inevitable step in experimental design of current biomedical research. Complex designs allowing diverse correlation structures are commonly used in RNA-Seq experiments.
Lianbo Yu, Soledad Fernandez, Guy Brock
doaj   +2 more sources

A general approach to mixed effects modeling of residual variances in generalized linear mixed models [PDF]

open access: yesGenetics 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 ...
Kizilkaya Kadir, Tempelman Robert J
doaj   +4 more sources

Modelos de predição para sobrevivência de plantas de Eucalyptus grandis Prediction models of Eucalyptus grandis plant survival [PDF]

open access: yesCiência e Agrotecnologia, 2009
Objetivou-se com este trabalho comparar modelos de predição de plantas sobreviventes de Eucalyptus grandis. Utilizaram-se os seguintes modelos: modelo linear misto com os dados transformados, utilizando-se as transformações angular e BOX-COX; modelo ...
Telde Natel Custódio, Décio Barbin
doaj   +4 more sources

Causal inference using multivariate generalized linear mixed-effects models. [PDF]

open access: yesBiometrics
ABSTRACT Dynamic prediction of causal effects under different treatment regimens is an essential problem in precision medicine. It is challenging because the actual mechanisms of treatment assignment and effects are unknown in observational studies.
Xu Y   +4 more
europepmc   +3 more sources

Extensions to Bayesian generalized linear mixed effects models for household tuberculosis transmission. [PDF]

open access: yesStat Med, 2017
Household contact studies, a mainstay of tuberculosis transmission research, often assume that tuberculosis‐infected household contacts of an index case were infected within the household. However, strain genotyping has provided evidence against this assumption.
McIntosh AI   +8 more
europepmc   +4 more sources

Improved detection of microbiome-disease associations via population structure-aware generalized linear mixed effects models (microSLAM). [PDF]

open access: yesPLoS Computational Biology
Microbiome association studies typically link host disease or other traits to summary statistics measured in metagenomics data, such as diversity or taxonomic composition.
Miriam Goldman   +2 more
doaj   +2 more sources

Generalized Linear Mixed-Effects Models for the Analysis of Odor Detection Data [PDF]

open access: yesJournal of Modern Applied Statistical Methods, 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
core   +4 more sources

The Estimation of Item Response Models with the lmer Function from the lme4 Package in R [PDF]

open access: yesJournal of Statistical Software, 2011
In this paper we elaborate on the potential of the lmer function from the lme4 package in R for item response (IRT) modeling. In line with the package, an IRT framework is described based on generalized linear mixed modeling. The aspects of the framework
Paul De Boeck   +6 more
doaj   +1 more source

Non-linear interactions between intraocular, intracranial pressure and the retinal vascular pulse amplitude in the Fourier domain [PDF]

open access: yesScientific Reports
The low explanatory power of a mixed effects linear model in evaluating interactions between retinal vascular pulse amplitude, intraocular pressure, and intracranial pressure suggests that these interactions are driven by non-linear dynamics.
Anmar Abdul-Rahman   +3 more
doaj   +2 more sources

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