Results 1 to 10 of about 3,055,216 (283)
Fixed or random? On the reliability of mixed‐effects models for a small number of levels in grouping variables [PDF]
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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Fiducial Inference in Linear Mixed-Effects Models [PDF]
We 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]
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]
Dale J Barr
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Mixed‐effects models and the drug titration paradox [PDF]
Charles F. Minto, Thomas W. Schnider
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Mixed effects regression models in forestry research [PDF]
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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Invited review: Recursive models in animal breeding: Interpretation, limitations, and extensions
: 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]
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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Practice effects occur for many cognitive tasks. They are observed not only between repeated tests, but also within sessions. They can confound the detection of treatment effects, even when compared with control groups.
Leonardo Jost, Petra Jansen
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When multiple measures are collected repeatedly over time, redundancy typically exists among responses. The envelope method was recently proposed to reduce the dimension of responses without loss of information in regression with multivariate responses. It can gain substantial efficiency over the standard least squares estimator.
Yuyang Shi, Linquan Ma, Lan Liu
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