Results 41 to 50 of about 6,614,907 (177)
Generalizing across stimuli as well as subjects: A non-mathematical tutorial on mixed-effects models [PDF]
Tutorials in Quantitative Methods for Psychology, 2016 Although it has long been known that analyses that treat stimuli as a fixed effect do not permit generalization from the sample of stimuli to the population of stimuli, surprisingly little attention has been paid to this issue outside of the field of ...
Chang, Yu-Hsuan A., Lane, David M.
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Logistic mixed models to investigate implicit and explicit belief tracking [PDF]
, 2016 We investigated the proposition of a two-systems Theory of Mind in adults’ belief tracking. A sample of N = 45 participants predicted the choice of one of two opponent players after observing several rounds in an animated card game. Three matches of this
Lages, Martin, Scheel, Anne
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Bayesian Linear Mixed Models with Polygenic Effects
Journal of Statistical Software, 2018 We considered Bayesian estimation of polygenic effects, in particular heritability in relation to a class of linear mixed models implemented in R (R Core Team 2018).
Jing Hua Zhao +2 more
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, 2011 Nonlinear mixed effects models represent a powerful tool to simultaneously analyze data from several individuals. In this study a compartmental model of leucine kinetics is examined and extended with a stochastic differential equation to model non-steady
Adiels, Martin +4 more
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Best practice guidance for linear mixed-effects models in psychological science
Journal of Memory and Language, 2019 The use of Linear Mixed Effects Models (LMMs) is set to dominate statistical analyses in psychological science and may become the default approach to analyzing quantitative data. The rapid growth in adoption of LMMs has been matched by a proliferation of
L. Meteyard, Robert A. I. Davies
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Novel Modelling Approaches to Characterize and Quantify Carryover Effects on Sensory Acceptability
Foods, 2018 Sensory biases caused by the residual sensations of previously served samples are known as carryover effects (COE). Contrast and convergence effects are the two possible outcomes of carryover.
Damir Dennis Torrico +5 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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robustlmm : An R Package for Robust Estimation of Linear Mixed-Effects Models
, 2016 As any real-life data, data modeled by linear mixed-effects models often contain outliers or other contamination. Even little contamination can drive the classic estimates far away from what they would be without the contamination.
Manuel Koller
semanticscholar +1 more source
D-optimal designs formulti-response linear mixed models [PDF]
, 2018 Linear mixed models have become popular in many statistical applications duringrecent years. However design issues for multi-response linear mixed models are rarelydiscussed.
Liu, Xin, Wong, Weng Kee, Yue, Rong-Xian
core
Generalized score test of homogeneity for mixed effects models
, 2006 Many important problems in psychology and biomedical studies require testing for overdispersion, correlation and heterogeneity in mixed effects and latent variable models, and score tests are particularly useful for this purpose. But the existing testing
Zhang, Heping, Zhu, Hongtu
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