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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)

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 ANO...

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Detalles Bibliográficos
Autores principales: Schmidt, Kerstin, Schmidtke, Jörg, Kohl, Christian, Wilhelm, Ralf, Schiemann, Joachim, van der Voet, Hilko, Steinberg, Pablo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754325/
https://www.ncbi.nlm.nih.gov/pubmed/25724152
http://dx.doi.org/10.1007/s00204-015-1487-8
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author Schmidt, Kerstin
Schmidtke, Jörg
Kohl, Christian
Wilhelm, Ralf
Schiemann, Joachim
van der Voet, Hilko
Steinberg, Pablo
author_facet Schmidt, Kerstin
Schmidtke, Jörg
Kohl, Christian
Wilhelm, Ralf
Schiemann, Joachim
van der Voet, Hilko
Steinberg, Pablo
author_sort Schmidt, Kerstin
collection PubMed
description 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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spelling pubmed-47543252016-02-25 Enhancing the interpretation of statistical P values in toxicology studies: implementation of linear mixed models (LMMs) and standardized effect sizes (SESs) Schmidt, Kerstin Schmidtke, Jörg Kohl, Christian Wilhelm, Ralf Schiemann, Joachim van der Voet, Hilko Steinberg, Pablo Arch Toxicol Protocols 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. Springer Berlin Heidelberg 2015-02-28 2016 /pmc/articles/PMC4754325/ /pubmed/25724152 http://dx.doi.org/10.1007/s00204-015-1487-8 Text en © The Author(s) 2015 https://creativecommons.org/licenses/by/4.0/ Open AccessThis article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited.
spellingShingle Protocols
Schmidt, Kerstin
Schmidtke, Jörg
Kohl, Christian
Wilhelm, Ralf
Schiemann, Joachim
van der Voet, Hilko
Steinberg, Pablo
Enhancing the interpretation of statistical P values in toxicology studies: implementation of linear mixed models (LMMs) and standardized effect sizes (SESs)
title Enhancing the interpretation of statistical P values in toxicology studies: implementation of linear mixed models (LMMs) and standardized effect sizes (SESs)
title_full Enhancing the interpretation of statistical P values in toxicology studies: implementation of linear mixed models (LMMs) and standardized effect sizes (SESs)
title_fullStr Enhancing the interpretation of statistical P values in toxicology studies: implementation of linear mixed models (LMMs) and standardized effect sizes (SESs)
title_full_unstemmed Enhancing the interpretation of statistical P values in toxicology studies: implementation of linear mixed models (LMMs) and standardized effect sizes (SESs)
title_short Enhancing the interpretation of statistical P values in toxicology studies: implementation of linear mixed models (LMMs) and standardized effect sizes (SESs)
title_sort enhancing the interpretation of statistical p values in toxicology studies: implementation of linear mixed models (lmms) and standardized effect sizes (sess)
topic Protocols
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4754325/
https://www.ncbi.nlm.nih.gov/pubmed/25724152
http://dx.doi.org/10.1007/s00204-015-1487-8
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