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Cited by 494

The DOI matches its Crossref record; 42 of the 42 references it cites were found in a registry or an index.

ESTIMATING NONLINEAR SELECTION GRADIENTS USING QUADRATIC REGRESSION COEFFICIENTS: DOUBLE OR NOTHING?

Stinchcombe, John R., Agrawal, Aneil F., Hohenlohe, Paul A., Arnold, Stevan J., Blows, Mark W.·2008·Evolution

Abstract

The use of regression analysis has been instrumental in allowing evolutionary biologists to estimate the strength and mode of natural selection. Although directional and correlational selection gradients are equal to their corresponding regression coefficients, quadratic regression coefficients must be doubled to estimate stabilizing/disruptive selection gradients. Based on a sample of 33 papers published in Evolution between 2002 and 2007, at least 78% of papers have not doubled quadratic regression coefficients, leading to an appreciable underestimate of the strength of stabilizing and disruptive selection. Proper treatment of quadratic regression coefficients is necessary for estimation of fitness surfaces and contour plots, canonical analysis of the gamma matrix, and modeling the evolution of populations on an adaptive landscape.

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Metadata

Authors
Stinchcombe, J. R., Agrawal, A. F., Hohenlohe, P. A., Arnold, S. J., & Blows, M. W.
Venue
Evolution
Published
2008-09
Volume
62
Issue
9
Pages
2435-2440
ISSN
  • 0014-3820 (ISSN-L)
  • 1558-5646
OpenAlex
W2058971217
Cited by
494
References
42
FWCI
32.55
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: ESTIMATING NONLINEAR SELECTION GRADIENTS USING QUADRATIC REGRESSION COEFFICIENTS: DOUBLE OR NOTHING? https://app.cochat.ai/papers/10.1111/j.1558-5646.2008.00449.x
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Stinchcombe, J. R., Agrawal, A. F., Hohenlohe, P. A., Arnold, S. J., & Blows, M. W. (2008). ESTIMATING NONLINEAR SELECTION GRADIENTS USING QUADRATIC REGRESSION COEFFICIENTS: DOUBLE OR NOTHING? Evolution. https://doi.org/10.1111/j.1558-5646.2008.00449.x

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