Generalized linear mixed-effects models for studies using different sets of stimuli across conditions [PDF]
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]
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]
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
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Modelos de predição para sobrevivência de plantas de Eucalyptus grandis Prediction models of Eucalyptus grandis plant survival [PDF]
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]
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]
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]
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]
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]
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]
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

