Holger Schielzeth
Holger Schielzeth
Friedrich Schiller University Jena, German Centre for Integrative Biodiversity Research (iDiv) Jena
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Cited by
Cited by
A general and simple method for obtaining R2 from generalized linear mixed‐effects models
S Nakagawa, H Schielzeth
Methods in Ecology and Evolution 4 (2), 133-142, 2013
Simple means to improve the interpretability of regression coefficients
H Schielzeth
Methods in Ecology and Evolution 1 (2), 103-113, 2010
Repeatability for Gaussian and non‐Gaussian data: a practical guide for biologists
S Nakagawa, H Schielzeth
Biological Reviews 85 (4), 935-956, 2010
The coefficient of determination R2 and intra-class correlation coefficient from generalized linear mixed-effects models revisited and expanded
S Nakagawa, PCD Johnson, H Schielzeth
Journal of The Royal Society Interface 14 (134), 20170213, 2017
rptR: repeatability estimation and variance decomposition by generalized linear mixed‐effects models
MA Stoffel, S Nakagawa, H Schielzeth
Methods in Ecology and Evolution 8 (11), 1639-1644, 2017
Cryptic multiple hypotheses testing in linear models: overestimated effect sizes and the winner's curse
W Forstmeier, H Schielzeth
Behavioral Ecology and Sociobiology 65 (1), 47-55, 2011
Conclusions beyond support: overconfident estimates in mixed models
H Schielzeth, W Forstmeier
Behavioral Ecology 20 (2), 416-420, 2009
Robustness of linear mixed‐effects models to violations of distributional assumptions
H Schielzeth, NJ Dingemanse, S Nakagawa, DF Westneat, H Allegue, ...
Methods in Ecology and Evolution 11 (9), 1141-1152, 2020
Nested by design: model fitting and interpretation in a mixed model era
H Schielzeth, S Nakagawa
Methods in Ecology and Evolution 4 (1), 14-24, 2013
Urbanization and its effects on personality traits: a result of microevolution or phenotypic plasticity?
AC Miranda, H Schielzeth, T Sonntag, J Partecke
Global Change Biology 19 (9), 2634-2644, 2013
Reproducibility of animal research in light of biological variation
B Voelkl, NS Altman, A Forsman, W Forstmeier, J Gurevitch, I Jaric, ...
Nature Reviews Neuroscience 21 (7), 384-393, 2020
The recombination landscape of the zebra finch Taeniopygia guttata genome
N Backström, W Forstmeier, H Schielzeth, H Mellenius, K Nam, E Bolund, ...
Genome Research 20 (4), 485-495, 2010
partR2: Partitioning R2 in generalized linear mixed models
MA Stoffel, S Nakagawa, H Schielzeth
PeerJ 9, e11414, 2021
Heterozygosity–fitness correlations in zebra finches: microsatellite markers can be better than their reputation
W Forstmeier, H Schielzeth, JC Mueller, H Ellegren, B Kempenaers
Molecular Ecology 21 (13), 3237-3249, 2012
General Methods for Evolutionary Quantitative Genetic Inference from Generalized Mixed Models
P de Villemereuil, H Schielzeth, S Nakagawa, M Morrissey
Genetics 204 (3), 1281-1294, 2016
Female extrapair mating behavior can evolve via indirect selection on males
W Forstmeier, K Martin, E Bolund, H Schielzeth, B Kempenaers
Proceedings of the National Academy of Sciences 108 (26), 10608-10613, 2011
Quantifying the predictability of behaviour: statistical approaches for the study of between‐individual variation in the within‐individual variance
IR Cleasby, S Nakagawa, H Schielzeth
Methods in Ecology and Evolution 6 (1), 27-37, 2015
A multitrophic perspective on biodiversity–ecosystem functioning research
N Eisenhauer, H Schielzeth, AD Barnes, KE Barry, A Bonn, U Brose, ...
Advances in ecological research 61, 1-54, 2019
Changing philosophies and tools for statistical inferences in behavioral ecology
LZ Garamszegi, S Calhim, N Dochtermann, G Hegyi, PL Hurd, ...
Behavioral Ecology 20 (6), 1363-1375, 2009
Molecular evolution of genes in avian genomes
K Nam, C Mugal, B Nabholz, H Schielzeth, JBW Wolf, N Backström, ...
Genome Biology 11, R68, 2010
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