Related references
Note: Only part of the references are listed.Mixed Models Offer No Freedom from Degrees Of Freedom
Goran Arnqvist
TRENDS IN ECOLOGY & EVOLUTION (2020)
Robustness of linear mixed-effects models to violations of distributional assumptions
Holger Schielzeth et al.
METHODS IN ECOLOGY AND EVOLUTION (2020)
Nest initiation and flooding in response to season and semi-lunar spring tides in a ground-nesting shorebird
Silvia Plaschke et al.
FRONTIERS IN ZOOLOGY (2019)
Testing the Conditional Cooperation Model: What Can We Learn From Parents Taking Turns When Feeding Offspring?
Peter Santema et al.
FRONTIERS IN ECOLOGY AND EVOLUTION (2019)
Measuring Up to Reality: Null Models and Analysis Simulations to Study Parental Coordination Over Provisioning Offspring
Malika Ihle et al.
FRONTIERS IN ECOLOGY AND EVOLUTION (2019)
A brief introduction to mixed effects modelling and multi-model inference in ecology
Xavier A. Harrison et al.
PEERJ (2018)
Many Analysts, One Data Set: Making Transparent How Variations in Analytic Choices Affect Results (vol 1, pg 337, 2018)
R. Silberzahn et al.
ADVANCES IN METHODS AND PRACTICES IN PSYCHOLOGICAL SCIENCE (2018)
Evaluating the replicability of social science experiments in Nature and Science between 2010 and 2015
Colin F. Camerer et al.
NATURE HUMAN BEHAVIOUR (2018)
Detecting and avoiding likely false-positive findings - a practical guide
Wolfgang Forstmeier et al.
BIOLOGICAL REVIEWS (2017)
Association mapping of morphological traits in wild and captive zebra finches: reliable within, but not between populations
Ulrich Knief et al.
MOLECULAR ECOLOGY (2017)
Three points to consider when choosing a LM or GLM test for count data
David I. Warton et al.
METHODS IN ECOLOGY AND EVOLUTION (2016)
Ten Simple Rules for Effective Statistical Practice
Robert E. Kass et al.
PLOS COMPUTATIONAL BIOLOGY (2016)
Many Labs 3: Evaluating participant pool quality across the academic semester via replication
Charles R. Ebersole et al.
JOURNAL OF EXPERIMENTAL SOCIAL PSYCHOLOGY (2016)
Ecotoxicology is not normal
Eduard Szoecs et al.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH (2015)
Fitting Linear Mixed-Effects Models Using lme4
Douglas Bates et al.
JOURNAL OF STATISTICAL SOFTWARE (2015)
Estimating the reproducibility of psychological science
Alexander A. Aarts et al.
SCIENCE (2015)
For testing the significance of regression coefficients, go ahead and log-transform count data
Anthony R. Ives
METHODS IN ECOLOGY AND EVOLUTION (2015)
A comparison of observation-level random effect and Beta-Binomial models for modelling overdispersion in Binomial data in ecology & evolution
Xavier A. Harrison
PEERJ (2015)
Effective use of Pearson's product-moment correlation coefficient Comment
Marie-Therese Puth et al.
ANIMAL BEHAVIOUR (2014)
Using observation-level random effects to model overdispersion in count data in ecology and evolution
Xavier A. Harrison
PEERJ (2014)
Random effects structure for confirmatory hypothesis testing: Keep it maximal
Dale J. Barr et al.
JOURNAL OF MEMORY AND LANGUAGE (2013)
Block bootstrap for Mann-Kendall trend test of serially dependent data
Bihrat Onoz et al.
HYDROLOGICAL PROCESSES (2012)
Testing the Significance of a Correlation With Nonnormal Data: Comparison of Pearson, Spearman, Transformation, and Resampling Approaches
Anthony J. Bishara et al.
PSYCHOLOGICAL METHODS (2012)
Dealing with collinearity in behavioural and ecological data: model averaging and the problems of measurement error
Robert P. Freckleton
BEHAVIORAL ECOLOGY AND SOCIOBIOLOGY (2011)
The arcsine is asinine: the analysis of proportions in ecology
David I. Warton et al.
ECOLOGY (2011)
A Hierarchical Bayesian Approach to Ecological Count Data: A Flexible Tool for Ecologists
James A. Fordyce et al.
PLOS ONE (2011)
False-Positive Psychology: Undisclosed Flexibility in Data Collection and Analysis Allows Presenting Anything as Significant
Joseph P. Simmons et al.
PSYCHOLOGICAL SCIENCE (2011)
A protocol for data exploration to avoid common statistical problems
Alain F. Zuur et al.
METHODS IN ECOLOGY AND EVOLUTION (2010)
Do not log-transform count data
Robert B. O'Hara et al.
METHODS IN ECOLOGY AND EVOLUTION (2010)
How to make models add up - a primer on GLMMs
Robert B. O'Hara
ANNALES ZOOLOGICI FENNICI (2009)
Inflation of Type I error rate in multiple regression when independent variables are measured with error
Jerry Brunner et al.
CANADIAN JOURNAL OF STATISTICS-REVUE CANADIENNE DE STATISTIQUE (2009)
Generalized linear mixed models: a practical guide for ecology and evolution
Benjamin M. Bolker et al.
TRENDS IN ECOLOGY & EVOLUTION (2009)
Simulating multivariate nonnormal data using an iterative algorithm
John Ruscio et al.
MULTIVARIATE BEHAVIORAL RESEARCH (2008)
Using heteroskedasticity-consistent standard error estimators in OLS regression: An introduction and software implementation
Andrew F. Hayes et al.
BEHAVIOR RESEARCH METHODS (2007)
Of rowing boats, ocean liners and tests of the ANOVA homogeneity of variance assumption
KA McGuinness
AUSTRAL ECOLOGY (2002)
Share Paper
