Literature DB >> 28568159

DESIGNING EXPERIMENTS TO MAXIMIZE THE POWER OF DETECTING CORRELATIONS.

Patrick C Phillips1.   

Abstract

Studies investigating correlations among traits are increasingly common in evolutionary biology. By providing power calculations, minimum sample sizes, and standard errors of correlation coefficients in a variety of contexts, this note provides guidelines to insure that nonzero correlations will not be erroneously dismissed as nonsignificant in properly designed experiements. Forty individuals is often sufficient for reasonable estimation of correlation coefficients, although 100 or more individuals may be nexessary if a large number of traits are involved or comparisons are to be made among the coefficients. © 1998 The Society for the Study of Evolution.

Keywords:  Correlation analysis; experimental design; multiple comparisons; power of test

Year:  1998        PMID: 28568159     DOI: 10.1111/j.1558-5646.1998.tb05158.x

Source DB:  PubMed          Journal:  Evolution        ISSN: 0014-3820            Impact factor:   3.694


  3 in total

Review 1.  Genetic Effects on the Correlation Structure of CVD Risk Factors: Exome-Wide Data From a Ghanaian Population.

Authors:  Nuri Kodaman; Rafal S Sobota; Folkert W Asselbergs; Matthew T Oetjens; Jason H Moore; Nancy J Brown; Melinda C Aldrich; Scott M Williams
Journal:  Glob Heart       Date:  2017-04-10

2.  Acoustic and Perceptual Profiles of Swallowing Sounds in Children: Normative Data for 4-36 Months from a Cross-Sectional Study Cohort.

Authors:  Thuy T Frakking; Anne B Chang; Kerry-Ann F O'Grady; Julie Yang; Michael David; Kelly A Weir
Journal:  Dysphagia       Date:  2016-11-09       Impact factor: 3.438

3.  Network Architecture and Mutational Sensitivity of the C. elegans Metabolome.

Authors:  Lindsay M Johnson; Luke M Chandler; Sarah K Davies; Charles F Baer
Journal:  Front Mol Biosci       Date:  2018-07-31
  3 in total

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