1998
DOI: 10.2527/1998.763847x
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Technical note: Application of the Box-Cox data transformation to animal science experiments.

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 we… Show more

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Cited by 85 publications
(45 citation statements)
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“…To meet the assumptions of normality and equal variances in the distributions of these analyses between cases and controls, the Box-Cox transformation was applied by allowing λ, the transformation parameter, to range between -4 and 4 in 0.05 increments [25]. The optimally transformed variables were then fitted to a general linear model (dependent variable).…”
Section: Discussionmentioning
confidence: 99%
“…To meet the assumptions of normality and equal variances in the distributions of these analyses between cases and controls, the Box-Cox transformation was applied by allowing λ, the transformation parameter, to range between -4 and 4 in 0.05 increments [25]. The optimally transformed variables were then fitted to a general linear model (dependent variable).…”
Section: Discussionmentioning
confidence: 99%
“…THYER et al [2002]) it is used in e.g. econometrics [NELSON, GRANGER [1979], biology [PELTIER et al 1998] and others. 3.…”
Section: Methodsmentioning
confidence: 99%
“…Cognitive and global functioning variables were normalized with a Box-Cox data transformation 32 to enable use of parametric analyses. Analysis of variance (ANOVA) was used to compare group differences (BD vs. control and severe vs. moderate depression scores) in means.…”
Section: Discussionmentioning
confidence: 99%