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A Cautionary Note o...
A Cautionary Note on "A Cautionary Note on the Use of Ornstein Uhlenbeck Models in Macroevolutionary Studies"
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- Grabowski, Mark (författare)
- University of Oslo,Liverpool John Moores University
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- Pienaar, Jason (författare)
- Florida International University
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- Voje, Kjetil L. (författare)
- University of Oslo
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- Andersson, Staffan, 1959 (författare)
- University of Gothenburg,Gothenburg University,Göteborgs universitet,Institutionen för biologi och miljövetenskap,Department of Biological and Environmental Sciences
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- Fuentes-Gonzalez, Jesualdo (författare)
- Florida International University
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- Kopperud, Bjorn T. (författare)
- Ludwig-Maximilian University of Munich
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- Moen, Daniel S. (författare)
- Oklahoma State University, Stillwater
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- Tsuboi, Masahito (författare)
- Lund University,Lunds universitet,Evolutionär ekologi,Biologiska institutionen,Naturvetenskapliga fakulteten,Populationsbiologi, mikro- och makroevolution,Forskargrupper vid Lunds universitet,Evolutionary ecology,Department of Biology,Faculty of Science,Population biology, micro- and macroevolution,Lund University Research Groups
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- Uyeda, Josef (författare)
- Virginia Polytechnic Institute and State University
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- Hansen, Thomas F. (författare)
- University of Oslo
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(creator_code:org_t)
- 2023
- 2023
- Engelska.
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Ingår i: SYSTEMATIC BIOLOGY. - 1063-5157 .- 1076-836X. ; 72:4, s. 955-963
- Relaterad länk:
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http://dx.doi.org/10... (free)
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https://gup.ub.gu.se...
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https://doi.org/10.1...
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https://lup.lub.lu.s...
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Abstract
Ämnesord
Stäng
- Models based on the Ornstein-Uhlenbeck process have become standard for the comparative study of adaptation. 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 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 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.
Ämnesord
- NATURVETENSKAP -- Biologi -- Evolutionsbiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Evolutionary Biology (hsv//eng)
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- art (ämneskategori)
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