Sökning: L773:1076 836X OR L773:1063 5157
> (2010-2014) >
Interpreting the Ev...
Interpreting the Evolutionary Regression: The Interplay Between Observational and Biological Errors in Phylogenetic Comparative Studies
-
- Hansen, T. F. (författare)
- Universitetet i Oslo,University of Oslo,Department of Biology, Centre for Ecological and Evolutionary Synthesis, University of Oslo, Norway
-
- Bartoszek, Krzysztof, 1984 (författare)
- Gothenburg University,Göteborgs universitet,Institutionen för matematiska vetenskaper,Department of Mathematical Sciences,Department of Mathematical Sciences, Chalmers University of Technology and the University of Gothenburg, Gothenburg, Sweden
-
(creator_code:org_t)
- 2012-01-02
- 2012
- Engelska.
-
Ingår i: Systematic Biology. - Oxford : Oxford University Press (OUP). - 1063-5157 .- 1076-836X. ; 61:3, s. 413-425
- Relaterad länk:
-
http://dx.doi.org/10...
-
visa fler...
-
https://academic.oup...
-
https://doi.org/10.1...
-
https://research.cha...
-
https://gup.ub.gu.se...
-
https://urn.kb.se/re...
-
https://urn.kb.se/re...
-
visa färre...
Abstract
Ämnesord
Stäng
- Regressions of biological variables across species are rarely perfect. Usually, there are residual deviations from the estimated model relationship, and such deviations commonly show a pattern of phylogenetic correlations indicating that they have biological causes. We discuss the origins and effects of phylogenetically correlated biological variation in regression studies. In particular, we discuss the interplay of biological deviations with deviations due to observational or measurement errors, which are also important in comparative studies based on estimated species means. We show how bias in estimated evolutionary regressions can arise from several sources, including phylogenetic inertia and either observational or biological error in the predictor variables. We show how all these biases can be estimated and corrected for in the presence of phylogenetic correlations. We present general formulas for incorporating measurement error in linear models with correlated data. We also show how alternative regression models, such as major axis and reduced major axis regression, which are often recommended when there is error in predictor variables, are strongly biased when there is biological variation in any part of the model. We argue that such methods should never be used to estimate evolutionary or allometric regression slopes.
Ämnesord
- NATURVETENSKAP -- Biologi -- Evolutionsbiologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences -- Evolutionary Biology (hsv//eng)
- NATURVETENSKAP -- Biologi (hsv//swe)
- NATURAL SCIENCES -- Biological Sciences (hsv//eng)
- NATURVETENSKAP -- Matematik -- Sannolikhetsteori och statistik (hsv//swe)
- NATURAL SCIENCES -- Mathematics -- Probability Theory and Statistics (hsv//eng)
Nyckelord
- adaptation
- models
- selection
- measurement error
- Adaptation
- within-species variation
- major-axis regression
- patterns
- interspecific data
- contrasts
- brain-size
- phylogenetic comparative method
- allometry
- metaanalysis
- allometry
- Adaptation
- allometry
- major-axis regression
- measurement error
- phylogenetic comparative method
- within-species variation
- interspecific data
- brain-size
- adaptation
- models
- metaanalysis
- contrasts
- selection
- patterns
- Mathematical Statistics
- Statistics
- Geovetenskap med inriktning mot miljöanalys
Publikations- och innehållstyp
- art (ämneskategori)
- ref (ämneskategori)
Hitta via bibliotek
Till lärosätets databas