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

Schmidt, Kerstin GND; Schmidtke, Jörg; Kohl, Christian GND; Wilhelm, Ralf GND; Schiemann, Joachim GND; van der Voet, Hilko; Steinberg, Pablo GND

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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Schmidt, Kerstin / Schmidtke, Jörg / Kohl, Christian / et al: Enhancing the interpretation of statistical P values in toxicology studies: implementation of linear mixed models (LMMs)and standardized effect sizes (SESs). 2015.

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