Enhancing the interpretation of statistical P values in toxicology studies: implementation of linear mixed models (LMMs) and standardized effect sizes (SESs)

被引:0
作者
Kerstin Schmidt
Jörg Schmidtke
Christian Kohl
Ralf Wilhelm
Joachim Schiemann
Hilko van der Voet
Pablo Steinberg
机构
[1] BioMath GmbH,Institute for Biosafety in Plant Biotechnology
[2] Julius Kühn-Institut,Biometris
[3] Federal Research Centre for Cultivated Plants,Institute for Food Toxicology and Analytical Chemistry
[4] Wageningen UR,undefined
[5] University of Veterinary Medicine Hannover,undefined
来源
Archives of Toxicology | 2016年 / 90卷
关键词
values; ANOVA; Linear mixed models; Standardized effect sizes; 90-day toxicity study; Repeated measurements;
D O I
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中图分类号
学科分类号
摘要
In this paper, we compare the traditional ANOVA approach to analysing data from 90-day toxicity studies with a more modern LMM approach, and we investigate the use of standardized effect sizes. The LMM approach is used to analyse weight or feed consumption data. When compared to the week-by-week ANOVA with multiple test results per week, this approach results in only one statement on differences in weight development between groups. Standardized effect sizes are calculated for the endpoints: weight, relative organ weights, haematology and clinical biochemistry. The endpoints are standardized, allowing different endpoints of the same study to be compared and providing an overall picture of group differences at a glance. Furthermore, in terms of standardized effect sizes, statistical significance and biological relevance are displayed simultaneously in a graph.
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页码:731 / 751
页数:20
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