Efficient algorithms for covariate analysis with dynamic data using nonlinear mixed-effects model - Min Yuan, Zhi Zhu, Yaning Yang, Minghua Zhao, Kate Sasser, Hisham Hamadeh, Jose Pinheiro, Xu Steven Xu, 2021
Brain Sciences | Free Full-Text | Application of Linear Mixed-Effects Models in Human Neuroscience Research: A Comparison with Pearson Correlation in Two Auditory Electrophysiology Studies
Beyond t test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research – UCI Center for Neural Circuit Mapping
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Perils and pitfalls of mixed-effects regression models in biology [PeerJ]
Efficient algorithms for covariate analysis with dynamic data using nonlinear mixed-effects model - Min Yuan, Zhi Zhu, Yaning Yang, Minghua Zhao, Kate Sasser, Hisham Hamadeh, Jose Pinheiro, Xu Steven Xu, 2021
Chapter 38 Random/Mixed Effects | Extended R Examples for A First Course in Design and Analysis of Experiments, 2nd edition.
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RPubs - Introduction to Linear Mixed-Effects Models: nlme Vs lme4
Linear Mixed Effects Models in R
Linear mixed effects models - the basics - YouTube
Beyond t test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research – UCI Center for Neural Circuit Mapping
Linear Mixed Model from Scratch. Derive and code LMM using Maximum… | by Nikolay Oskolkov | Towards Data Science
lme4 nlme - Running post hoc analysis after running Linear mixed model in R - Cross Validated
Beyond t test and ANOVA: applications of mixed-effects models for more rigorous statistical analysis in neuroscience research – UCI Center for Neural Circuit Mapping
Chapter 8 Linear Mixed Models | R (BGU course)
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