Fixed or random? On the reliability of mixed‐effects models for a small number of levels in grouping variables [PDF]
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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Understanding Mixed-Effects Models Through Data Simulation
Advances in Methods and Practices in Psychological Science, 2021 Experimental designs that sample both subjects and stimuli from a larger population need to account for random effects of both subjects and stimuli using mixed-effects models.
Lisa M. DeBruine, Dale J. Barr
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Fiducial Inference in Linear Mixed-Effects Models [PDF]
EntropyWe develop a novel framework for fiducial inference in linear mixed-effects (LME) models, with the standard deviation of random effects reformulated as coefficients.
Jie Yang +3 more
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Practical identifiability in the frame of nonlinear mixed effects models: the example of the in vitro erythropoiesis [PDF]
BMC Bioinformatics, 2021 Background Nonlinear mixed effects models provide a way to mathematically describe experimental data involving a lot of inter-individual heterogeneity.
Ronan Duchesne +3 more
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Random effects structure for testing interactions in linear mixed-effects models [PDF]
Frontiers in Psychology, 2013 Dale J Barr
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Mixed‐effects models and the drug titration paradox [PDF]
CPT: Pharmacometrics & Systems Pharmacology, 2023 Charles F. Minto, Thomas W. Schnider
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Mixed effects regression models in forestry research [PDF]
Сибирский лесной журнал, 2021 A promising method for finding patterns in experimental data is regression models of mixed effects, which have not found wide application in forest science in Russia to date.
A. V. Lebedev, V. V. Kuzmichev
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Frontiers in Bioscience-Landmark, 2023 Background: Obesity results from a chronic imbalance between energy intake and energy expenditure. Total energy expenditure for all physiological functions combined can be measured approximately by calorimeters.
Hyunkyoung Kim +4 more
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Invited review: Recursive models in animal breeding: Interpretation, limitations, and extensions
Journal of Dairy Science, 2023 : Structural equation models allow causal effects between 2 or more variables to be considered and can postulate unidirectional (recursive models; RM) or bidirectional (simultaneous models) causality between variables.
L. Varona, O. González-Recio
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Biological and statistical interpretation of size-at-age, mixed-effects models of growth [PDF]
Royal Society Open Science, 2020 The differences in life-history traits and processes between organisms living in the same or different populations contribute to their ecological and evolutionary dynamics.
Simone Vincenzi +2 more
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