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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2015
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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. |
format | Online Article Text |
id | pubmed-4754325 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
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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