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...
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Format: | Article |
Language: | English |
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Frontiers Media S.A.
2023-08-01
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Series: | Frontiers in Medicine |
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Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2023.1215927/full |
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author | Xinlian Zhang Phillipp Hartmann Phillipp Hartmann |
author_facet | Xinlian Zhang Phillipp Hartmann Phillipp Hartmann |
author_sort | Xinlian Zhang |
collection | DOAJ |
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. |
first_indexed | 2024-03-12T14:26:02Z |
format | Article |
id | doaj.art-232c334c21194c6999d3c2998abcecf4 |
institution | Directory Open Access Journal |
issn | 2296-858X |
language | English |
last_indexed | 2024-03-12T14:26:02Z |
publishDate | 2023-08-01 |
publisher | Frontiers Media S.A. |
record_format | Article |
series | Frontiers in Medicine |
spelling | doaj.art-232c334c21194c6999d3c2998abcecf42023-08-18T05:30:35ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2023-08-011010.3389/fmed.2023.12159271215927How to calculate sample size in animal and human studiesXinlian Zhang0Phillipp Hartmann1Phillipp Hartmann2Division of Biostatistics and Bioinformatics, Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United StatesDepartment of Pediatrics, University of California, San Diego, La Jolla, CA, United StatesDivision of Gastroenterology, Hepatology and Nutrition, Rady Children's Hospital San Diego, San Diego, CA, United StatesOne 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.https://www.frontiersin.org/articles/10.3389/fmed.2023.1215927/fullsample size calculationpowereffect sizeanimal and human studytwo sample comparisontype I error |
spellingShingle | Xinlian Zhang Phillipp Hartmann Phillipp Hartmann How to calculate sample size in animal and human studies Frontiers in Medicine sample size calculation power effect size animal and human study two sample comparison type I error |
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 | sample size calculation power effect size animal and human study two sample comparison type I error |
url | https://www.frontiersin.org/articles/10.3389/fmed.2023.1215927/full |
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