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A Cautionary Note on “A Cautionary Note on the Use of Ornstein Uhlenbeck Models in Macroevolutionary Studies”
Models based on the Ornstein–Uhlenbeck process have become standard for the comparative study of adaptation. Cooper et al. (2016) have cast doubt on this practice by claiming statistical problems with fitting Ornstein–Uhlenbeck models to comparative data. Specifically, they claim that statistical te...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405355/ https://www.ncbi.nlm.nih.gov/pubmed/37229537 http://dx.doi.org/10.1093/sysbio/syad012 |
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author | Grabowski, Mark Pienaar, Jason Voje, Kjetil L Andersson, Staffan Fuentes-González, Jesualdo Kopperud, Bjørn T Moen, Daniel S Tsuboi, Masahito Uyeda, Josef Hansen, Thomas F |
author_facet | Grabowski, Mark Pienaar, Jason Voje, Kjetil L Andersson, Staffan Fuentes-González, Jesualdo Kopperud, Bjørn T Moen, Daniel S Tsuboi, Masahito Uyeda, Josef Hansen, Thomas F |
author_sort | Grabowski, Mark |
collection | PubMed |
description | Models based on the Ornstein–Uhlenbeck process have become standard for the comparative study of adaptation. Cooper et al. (2016) have cast doubt on this practice by claiming statistical problems with fitting Ornstein–Uhlenbeck models to comparative data. Specifically, they claim that statistical tests of Brownian motion may have too high Type I error rates and that such error rates are exacerbated by measurement error. In this note, we argue that these results have little relevance to the estimation of adaptation with Ornstein–Uhlenbeck models for three reasons. First, we point out that Cooper et al. (2016) did not consider the detection of distinct optima (e.g. for different environments), and therefore did not evaluate the standard test for adaptation. Second, we show that consideration of parameter estimates, and not just statistical significance, will usually lead to correct inferences about evolutionary dynamics. Third, we show that bias due to measurement error can be corrected for by standard methods. We conclude that Cooper et al. (2016) have not identified any statistical problems specific to Ornstein–Uhlenbeck models, and that their cautions against their use in comparative analyses are unfounded and misleading. [adaptation, Ornstein–Uhlenbeck model, phylogenetic comparative method.] |
format | Online Article Text |
id | pubmed-10405355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-104053552023-08-08 A Cautionary Note on “A Cautionary Note on the Use of Ornstein Uhlenbeck Models in Macroevolutionary Studies” Grabowski, Mark Pienaar, Jason Voje, Kjetil L Andersson, Staffan Fuentes-González, Jesualdo Kopperud, Bjørn T Moen, Daniel S Tsuboi, Masahito Uyeda, Josef Hansen, Thomas F Syst Biol Point of Views Models based on the Ornstein–Uhlenbeck process have become standard for the comparative study of adaptation. Cooper et al. (2016) have cast doubt on this practice by claiming statistical problems with fitting Ornstein–Uhlenbeck models to comparative data. Specifically, they claim that statistical tests of Brownian motion may have too high Type I error rates and that such error rates are exacerbated by measurement error. In this note, we argue that these results have little relevance to the estimation of adaptation with Ornstein–Uhlenbeck models for three reasons. First, we point out that Cooper et al. (2016) did not consider the detection of distinct optima (e.g. for different environments), and therefore did not evaluate the standard test for adaptation. Second, we show that consideration of parameter estimates, and not just statistical significance, will usually lead to correct inferences about evolutionary dynamics. Third, we show that bias due to measurement error can be corrected for by standard methods. We conclude that Cooper et al. (2016) have not identified any statistical problems specific to Ornstein–Uhlenbeck models, and that their cautions against their use in comparative analyses are unfounded and misleading. [adaptation, Ornstein–Uhlenbeck model, phylogenetic comparative method.] Oxford University Press 2023-05-25 /pmc/articles/PMC10405355/ /pubmed/37229537 http://dx.doi.org/10.1093/sysbio/syad012 Text en © The Author(s) 2023. Published by Oxford University Press on behalf of the Society of Systematic Biologists. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Point of Views Grabowski, Mark Pienaar, Jason Voje, Kjetil L Andersson, Staffan Fuentes-González, Jesualdo Kopperud, Bjørn T Moen, Daniel S Tsuboi, Masahito Uyeda, Josef Hansen, Thomas F A Cautionary Note on “A Cautionary Note on the Use of Ornstein Uhlenbeck Models in Macroevolutionary Studies” |
title | A Cautionary Note on “A Cautionary Note on the Use of Ornstein Uhlenbeck Models in Macroevolutionary Studies” |
title_full | A Cautionary Note on “A Cautionary Note on the Use of Ornstein Uhlenbeck Models in Macroevolutionary Studies” |
title_fullStr | A Cautionary Note on “A Cautionary Note on the Use of Ornstein Uhlenbeck Models in Macroevolutionary Studies” |
title_full_unstemmed | A Cautionary Note on “A Cautionary Note on the Use of Ornstein Uhlenbeck Models in Macroevolutionary Studies” |
title_short | A Cautionary Note on “A Cautionary Note on the Use of Ornstein Uhlenbeck Models in Macroevolutionary Studies” |
title_sort | cautionary note on “a cautionary note on the use of ornstein uhlenbeck models in macroevolutionary studies” |
topic | Point of Views |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10405355/ https://www.ncbi.nlm.nih.gov/pubmed/37229537 http://dx.doi.org/10.1093/sysbio/syad012 |
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