New approaches to meta-analyze differences in skewness, kurtosis, and correlation.
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| Title: | New approaches to meta-analyze differences in skewness, kurtosis, and correlation. |
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| Authors: | Pollo P; Evolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Sydney, Australia.; School of Environmental and Life Sciences, University of Newcastle, Newcastle, Australia., Drobniak SM; Evolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Sydney, Australia.; Institute of Environmental Sciences, Faculty of Biology, Jagiellonian University, Kraków, Poland., Haselimashhadi H; European Bioinformatics Institute, European Molecular Biology Laboratory, Hinxton, United Kingdom., Lagisz M; Evolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Sydney, Australia.; Department of Biological Sciences, University of Alberta, Biological Sciences Building, Edmonton, Canada., Mizuno A; Department of Biological Sciences, University of Alberta, Biological Sciences Building, Edmonton, Canada., Wilson LAB; School of Archaeology and Anthropology, The Australian National University, Acton, Australia.; School of Biological, Earth and Environmental Sciences, University of New South Wales, Kensington, Australia.; ARC Training Centre for Multiscale 3D Imaging, Modelling and Manufacturing, Research School of Physics, The Australian National University, Acton, Australia., Noble DWA; Division of Ecology and Evolution, Research School of Biology, The Australian National University, Canberra, Australia., Nakagawa S; Evolution & Ecology Research Centre, School of Biological, Earth & Environmental Sciences, University of New South Wales, Sydney, Australia.; Department of Biological Sciences, University of Alberta, Biological Sciences Building, Edmonton, Canada. |
| Source: | PLoS biology [PLoS Biol] 2026 Feb 13; Vol. 24 (2), pp. e3003653. Date of Electronic Publication: 2026 Feb 13 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101183755 Publication Model: eCollection Cited Medium: Internet ISSN: 1545-7885 (Electronic) Linking ISSN: 15449173 NLM ISO Abbreviation: PLoS Biol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1545-7885 |
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| DOI: | 10.1371/journal.pbio.3003653 |
