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]
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 38 Random/Mixed Effects | Extended R Examples for A First Course in Design and Analysis of Experiments, 2nd edition.
Fixed- and Mixed-Effects Regression Models in R
Semantic concept schema of the linear mixed model of experimental observations | Scientific Data
Linear Mixed Effects Models
Results from Linear Mixed Effects (lme) models | Download Table
Linear Mixed Effects Models in R
Linear Mixed Effects Models in R
Fixed- and Mixed-Effects Regression Models in R
Mixed model lab #1
r - Effect size derived from LME longitudinal model: the statistical findings projected back down onto a group of people - Cross Validated
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 18 Linear Mixed Effects Models | Statistics for Ecologists
Linear Mixed Effects Models
Chapter 5 Linear Mixed Models | One factor Repeated Measures ANOVA with R
Linear Mixed Effects Models
RPubs - Introduction to Linear Mixed-Effects Models: nlme Vs lme4
Chapter 6 Random and Mixed Effects Models | ANOVA and Mixed Models
Linear Mixed Effects Models
Linear Mixed Effects Models in R
r - Effect size derived from LME longitudinal model: the statistical findings projected back down onto a group of people - Cross Validated
Linear mixed-effect models in R – poissonisfish
Fixed- and Mixed-Effects Regression Models in R
Linear Models, ANOVA, GLMs and Mixed-Effects models in R | R-bloggers
Tutorial 9.1 - Dealing with spatial and temporal autocorrelation
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