Technical note: Application of the Box-Cox data transformation to animal science experiments

Journal of Animal Science
M R PeltierD C Sharp

Abstract

In the use of ANOVA for hypothesis testing in animal science experiments, the assumption of homogeneity of errors often is violated because of scale effects and the nature of the measurements. We demonstrate a method for transforming data so that the assumptions of ANOVA are met (or violated to a lesser degree) and apply it in analysis of data from a physiology experiment. Our study examined whether melatonin implantation would affect progesterone secretion in cycling pony mares. Overall treatment variances were greater in the melatonin-treated group, and several common transformation procedures failed. Application of the Box-Cox transformation algorithm reduced the heterogeneity of error and permitted the assumption of equal variance to be met.

Citations

Nov 5, 2014·Nature Methods·Yvon Le MahoCéline Le Bohec
Feb 13, 2016·Revista brasileira de psiquiatria : orgão oficial da Associação Brasileira de Psiquiatria, Asociación Psiquiátrica de la América Latina·Natalia S KapczinskiClarissa S Gama
Dec 3, 2008·American Journal of Reproductive Immunology : AJRI·Morgan R PeltierJohn C Smulian
Apr 13, 2011·American Journal of Reproductive Immunology : AJRI·Morgan R PeltierNazeeh Hanna
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