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

GND
1121610897
Affiliation
BioMath GmbH, Schnickmannstr. 4, 18055 Rostock, Germany
Schmidt, Kerstin;
Affiliation
BioMath GmbH, Schnickmannstr. 4, 18055 Rostock, Germany
Schmidtke, Jörg;
GND
1024181847
Affiliation
Julius Kühn-Institute (JKI), Institute for Biosafety in Plant Biotechnology, Germany
Kohl, Christian;
GND
1058993402
Affiliation
Julius Kühn-Institute (JKI), Institute for Biosafety in Plant Biotechnology, Germany
Wilhelm, Ralf;
GND
141232439
Affiliation
Julius Kühn-Institute (JKI), Institute for Biosafety in Plant Biotechnology, Germany
Schiemann, Joachim;
Affiliation
Biometris, Wageningen UR, P. O. Box 16, 6700 AA Wageningen, The Netherlands
van der Voet, Hilko;
GND
114280789
Affiliation
Institute for Food Toxicology and Analytical Chemistry, University of Veterinary Medicine Hannover, Bischofsholer Damm 15, 30173 Hannover, Germany
Steinberg, Pablo

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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