Fixed or random? On the reliability of mixed‐effects models for a small number of levels in grouping variables

Type I error control for cluster randomized trials under varying small sample structures

(2021) Joshua R. Nugent et al.   BMC Medical Research Methodology

Mixed Models Offer No Freedom from Degrees of Freedom

(2020) Göran Arnqvist   TRENDS IN ECOLOGY & EVOLUTION

Best practice guidance for linear mixed-effects models in psychological science

(2020) Lotte Meteyard et al.   JOURNAL OF MEMORY AND LANGUAGE

Robustness of linear mixed‐effects models to violations of distributional assumptions

(2020) Holger Schielzeth et al.   Methods in Ecology and Evolution

A brief introduction to mixed effects modelling and multi-model inference in ecology

(2018) Xavier A. Harrison et al.   PeerJ

Fixed and random effects models: making an informed choice

(2018) Andrew Bell et al.   QUALITY & QUANTITY

Balancing Type I error and power in linear mixed models

(2017) Hannes Matuschek et al.   JOURNAL OF MEMORY AND LANGUAGE

lmerTest Package: Tests in Linear Mixed Effects Models

(2017) Alexandra Kuznetsova et al.   Journal of Statistical Software

Small Sample Methods for Multilevel Modeling: A Colloquial Elucidation of REML and the Kenward-Roger Correction

(2017) Daniel McNeish   MULTIVARIATE BEHAVIORAL RESEARCH

The anova to mixed model transition

(2016) Matthieu P. Boisgontier et al.   NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS

SIMR: an R package for power analysis of generalized linear mixed models by simulation

(2016) Peter Green et al.   Methods in Ecology and Evolution

Fitting Linear Mixed-Effects Models Usinglme4

(2015) Douglas Bates et al.   Journal of Statistical Software

A comparison of observation-level random effect and Beta-Binomial models for modelling overdispersion in Binomial data in ecology & evolution

(2015) Xavier A. Harrison   PeerJ

A solution to dependency: using multilevel analysis to accommodate nested data

(2014) Emmeke Aarts et al.   NATURE NEUROSCIENCE

Power analysis for generalized linear mixed models in ecology and evolution

(2014) Paul C. D. Johnson et al.   Methods in Ecology and Evolution

Using observation-level random effects to model overdispersion in count data in ecology and evolution

(2014) Xavier A. Harrison   PeerJ

Fixed effects analysis of repeated measures data

(2013) Fiona Imlach Gunasekara et al.   INTERNATIONAL JOURNAL OF EPIDEMIOLOGY

Random effects structure for confirmatory hypothesis testing: Keep it maximal

(2013) Dale J. Barr et al.   JOURNAL OF MEMORY AND LANGUAGE

A general and simple method for obtainingR2from generalized linear mixed-effects models

(2012) Shinichi Nakagawa et al.   Methods in Ecology and Evolution

Restricted likelihood ratio testing in linear mixed models with general error covariance structure

(2011) Andrea Wiencierz et al.   Electronic Journal of Statistics

Quantifying individual variation in reaction norms: how study design affects the accuracy, precision and power of random regression models

(2011) Martijn van de Pol   Methods in Ecology and Evolution

Measuring individual differences in reaction norms in field and experimental studies: a power analysis of random regression models

(2010) Julien G. A. Martin et al.   Methods in Ecology and Evolution

Simple means to improve the interpretability of regression coefficients

(2010) Holger Schielzeth   Methods in Ecology and Evolution

Generalized linear mixed models: a practical guide for ecology and evolution

(2009) Benjamin M. Bolker et al.   TRENDS IN ECOLOGY & EVOLUTION

Conclusions beyond support: overconfident estimates in mixed models

(2008) H. Schielzeth et al.   BEHAVIORAL ECOLOGY

Mixed-effects modeling with crossed random effects for subjects and items

(2008) R.H. Baayen et al.   JOURNAL OF MEMORY AND LANGUAGE

The Bayesian Lasso

(2008) Trevor Park et al.   JOURNAL OF THE AMERICAN STATISTICAL ASSOCIATION