Results 11 to 20 of about 489,917 (280)
rptR: repeatability estimation and variance decomposition by generalized linear mixed‐effects models [PDF]
Methods in Ecology and Evolution, 2017 Summary Intra‐class correlations (ICC) and repeatabilities (R) are fundamental statistics for quantifying the reproducibility of measurements and for understanding the structure of biological variation. Linear mixed effects models offer a versatile framework for estimating ICC and R.
Martin A. Stoffel +2 more
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Frontiers 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
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(Generalized Linear) Mixed‐Effects Modeling: A Learner Corpus Example [PDF]
Language Learning, 2021 AbstractThis methods showcase article provides a detailed overview of a mixed‐effects modeling analysis of corpus data on the use of that in object and subject complementation by native speakers of English compared to its use by German and Spanish learners of English.
Gries, Stefan Th. +1 more
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Ecology 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
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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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Bayesian P-Splines to investigate the impact of covariates on Multiple Sclerosis clinical course [PDF]
, 2003 This paper aims at proposing suitable statistical tools to address heterogeneity in repeated measures, within a Multiple Sclerosis (MS) longitudinal study.
Di Serio, C., Lamina, C.
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Spatial variability in floodplain sedimentation: the use of generalized linear mixed-effects models [PDF]
Hydrology 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
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Journal 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
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A vine copula mixed effect model for trivariate meta-analysis of diagnostic test accuracy studies accounting for disease prevalence [PDF]
, 2015 A bivariate copula mixed model has been recently proposed to synthesize diagnostic test accuracy studies and it has been shown that it is superior to the standard generalized linear mixed model in this context.
Aas K +41 more
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Modeling Multiple Item Context Effects With Generalized Linear Mixed Models
Frontiers 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
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