Display options
Cite
Blanckenhorn WU, Reuter M, Ward PI, et al. CORRECTING FOR SAMPLING BIAS IN QUANTITATIVE MEASURES OF SELECTION WHEN FITNESS IS DISCRETE. Evolution. 1999;53(1):286-291doi: 10.1111/j.1558-5646.1999.tb05354.x.
Blanckenhorn, W. U., Reuter, M., Ward, P. I., & Barbour, A. D. (1999). CORRECTING FOR SAMPLING BIAS IN QUANTITATIVE MEASURES OF SELECTION WHEN FITNESS IS DISCRETE. Evolution; international journal of organic evolution, 53(1), 286-291. https://doi.org/10.1111/j.1558-5646.1999.tb05354.x
Blanckenhorn, Wolf U, et al. "CORRECTING FOR SAMPLING BIAS IN QUANTITATIVE MEASURES OF SELECTION WHEN FITNESS IS DISCRETE." Evolution; international journal of organic evolution vol. 53,1 (1999): 286-291. doi: https://doi.org/10.1111/j.1558-5646.1999.tb05354.x
Blanckenhorn WU, Reuter M, Ward PI, Barbour AD. CORRECTING FOR SAMPLING BIAS IN QUANTITATIVE MEASURES OF SELECTION WHEN FITNESS IS DISCRETE. Evolution. 1999 Feb;53(1):286-291. doi: 10.1111/j.1558-5646.1999.tb05354.x. PMID: 28565176.
Copy Download .nbib Format: NLM
Share it on

Evolution. 1999 Feb;53(1):286-291. doi: 10.1111/j.1558-5646.1999.tb05354.x.

CORRECTING FOR SAMPLING BIAS IN QUANTITATIVE MEASURES OF SELECTION WHEN FITNESS IS DISCRETE.

Evolution; international journal of organic evolution

Wolf U Blanckenhorn, Max Reuter, Paul I Ward, Andrew D Barbour

Affiliations

  1. Zoological Museum, University of Zürich, Winterthurerstrasse 190, CH-8057, Zürich, Switzerland.
  2. Applied Mathematics, University of Zürich, Winterthurerstrasse 190, CH-8057, Zürich, Switzerland.

PMID: 28565176 DOI: 10.1111/j.1558-5646.1999.tb05354.x

Abstract

We show with a simulation that nonrepresentative sampling of two discrete fitness classes leads to biased estimates of selection. Systematic underestimation occurs if the selected class is overrepresented in the sample and overestimation if the unselected class is overrepresented. The bias is greater the stronger the selection intensity, the smaller the true fraction of individuals favored by selected, and the lower the sample size. We present a simple method that allows a posteriori statistical correction in cases of biased sampling given a separate estimate of the actual class representation, describe its practical implementation, and show that it works.

© 1999 The Society for the Study of Evolution.

Keywords: Computer simulation; fitness; natural selection; selection differentials; selection gradients; sexual selection; viability selection

Publication Types