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]
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
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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
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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
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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
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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
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Spatial variability in floodplain sedimentation: the use of generalized linear mixed-effects models [PDF]
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
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Misspecification in Generalized Linear Mixed Models and Its Impact on the Statistical Wald Test
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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Modeling Multiple Item Context Effects With Generalized Linear Mixed Models
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
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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
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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
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