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How to calculate sample size in animal and human studies
One of the most important statistical analyses when designing animal and human studies is the calculation of the required sample size. In this review, we define central terms in the context of sample size determination, including mean, standard deviation, statistical hypothesis testing, type I/II er...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469945/ https://www.ncbi.nlm.nih.gov/pubmed/37663663 http://dx.doi.org/10.3389/fmed.2023.1215927 |
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author | Zhang, Xinlian Hartmann, Phillipp |
author_facet | Zhang, Xinlian Hartmann, Phillipp |
author_sort | Zhang, Xinlian |
collection | PubMed |
description | One of the most important statistical analyses when designing animal and human studies is the calculation of the required sample size. In this review, we define central terms in the context of sample size determination, including mean, standard deviation, statistical hypothesis testing, type I/II error, power, direction of effect, effect size, expected attrition, corrected sample size, and allocation ratio. We also provide practical examples of sample size calculations for animal and human studies based on pilot studies, larger studies similar to the proposed study—or if no previous studies are available—estimated magnitudes of the effect size per Cohen and Sawilowsky. |
format | Online Article Text |
id | pubmed-10469945 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-104699452023-09-01 How to calculate sample size in animal and human studies Zhang, Xinlian Hartmann, Phillipp Front Med (Lausanne) Medicine One of the most important statistical analyses when designing animal and human studies is the calculation of the required sample size. In this review, we define central terms in the context of sample size determination, including mean, standard deviation, statistical hypothesis testing, type I/II error, power, direction of effect, effect size, expected attrition, corrected sample size, and allocation ratio. We also provide practical examples of sample size calculations for animal and human studies based on pilot studies, larger studies similar to the proposed study—or if no previous studies are available—estimated magnitudes of the effect size per Cohen and Sawilowsky. Frontiers Media S.A. 2023-08-17 /pmc/articles/PMC10469945/ /pubmed/37663663 http://dx.doi.org/10.3389/fmed.2023.1215927 Text en Copyright © 2023 Zhang and Hartmann. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Medicine Zhang, Xinlian Hartmann, Phillipp How to calculate sample size in animal and human studies |
title | How to calculate sample size in animal and human studies |
title_full | How to calculate sample size in animal and human studies |
title_fullStr | How to calculate sample size in animal and human studies |
title_full_unstemmed | How to calculate sample size in animal and human studies |
title_short | How to calculate sample size in animal and human studies |
title_sort | how to calculate sample size in animal and human studies |
topic | Medicine |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469945/ https://www.ncbi.nlm.nih.gov/pubmed/37663663 http://dx.doi.org/10.3389/fmed.2023.1215927 |
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