Results 1 to 10 of about 18,910,981 (254)

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

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

To transform or not to transform: Using Generalized Linear Mixed Models to analyse reaction time data

open access: yesFrontiers in Psychology, 2015
Linear mixed-effect models (LMMs) are being increasingly widely used in psychology to analyse multi-level research designs. This feature allows LMMs to address some of the problems identified by Speelman and McGann (2013) about the use of mean data ...
Steson eLo, Sally eAndrews
doaj   +3 more sources

Fixed or random? On the reliability of mixed‐effects models for a small number of levels in grouping variables

open access: yesEcology and Evolution, 2022
Biological data are often intrinsically hierarchical (e.g., species from different genera, plants within different mountain regions), which made mixed‐effects models a common analysis tool in ecology and evolution because they can account for the non ...
Johannes Oberpriller   +2 more
doaj   +1 more source

Spatial variability in floodplain sedimentation: the use of generalized linear mixed-effects models [PDF]

open access: yesHydrology and Earth System Sciences, 2010
Sediment, Total Organic Carbon (TOC) and total nitrogen (TN) accumulation during one overbank flood (1.15 y return interval) were examined at one reach of the Middle Ebro River (NE Spain) for elucidating spatial patterns. To achieve this goal, four areas
A. Cabezas   +4 more
doaj   +1 more source

Misspecification in Generalized Linear Mixed Models and Its Impact on the Statistical Wald Test

open access: yesApplied 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
doaj   +1 more source

Modeling Multiple Item Context Effects With Generalized Linear Mixed Models

open access: yesFrontiers in Psychology, 2019
Item context effects refer to the impact of features of a test on an examinee's item responses. These effects cannot be explained by the abilities measured by the test. Investigations typically focus on only a single type of item context effects, such as
Norman Rose   +6 more
doaj   +1 more source

Longitudinal modeling using log-gamma mixed model: case of memory deterioration after chronic cerebral hypoperfusion associated with diabetes in rats

open access: yesActa Scientiarum: Technology, 2019
In recent years several longitudinal studies have been conducted in the field of pharmacology. In general, continuous response variables occur frequently in these situations and tend to present asymmetric characteristics, as well as being restricted to ...
Matheus Henrique Dal Molin Ribeiro   +4 more
doaj   +1 more source

varTestnlme: An R Package for Variance Components Testing in Linear and Nonlinear Mixed-Effects Models

open access: yesJournal of Statistical Software, 2023
The issue of variance components testing arises naturally when building mixed-effects models, to decide which effects should be modeled as fixed or random or to build parsimonious models.
Charlotte Baey, Estelle Kuhn
doaj   +1 more source

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