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Sample size calculation in medical studies
Optimum sample size is an essential component of any research. The main purpose of the sample size calculation is to determine the number of samples needed to detect significant changes in clinical parameters, treatment effects or associations after data gathering. It is not uncommon for studies to...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Institute for Gastroenterology and Liver Diseases
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4017493/ https://www.ncbi.nlm.nih.gov/pubmed/24834239 |
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author | Pourhoseingholi, Mohamad Amin Vahedi, Mohsen Rahimzadeh, Mitra |
author_facet | Pourhoseingholi, Mohamad Amin Vahedi, Mohsen Rahimzadeh, Mitra |
author_sort | Pourhoseingholi, Mohamad Amin |
collection | PubMed |
description | Optimum sample size is an essential component of any research. The main purpose of the sample size calculation is to determine the number of samples needed to detect significant changes in clinical parameters, treatment effects or associations after data gathering. It is not uncommon for studies to be underpowered and thereby fail to detect the existing treatment effects due to inadequate sample size. In this paper, we explain briefly the basic principles of sample size calculations in medical studies. |
format | Online Article Text |
id | pubmed-4017493 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Research Institute for Gastroenterology and Liver Diseases |
record_format | MEDLINE/PubMed |
spelling | pubmed-40174932014-05-15 Sample size calculation in medical studies Pourhoseingholi, Mohamad Amin Vahedi, Mohsen Rahimzadeh, Mitra Gastroenterol Hepatol Bed Bench Special Article Optimum sample size is an essential component of any research. The main purpose of the sample size calculation is to determine the number of samples needed to detect significant changes in clinical parameters, treatment effects or associations after data gathering. It is not uncommon for studies to be underpowered and thereby fail to detect the existing treatment effects due to inadequate sample size. In this paper, we explain briefly the basic principles of sample size calculations in medical studies. Research Institute for Gastroenterology and Liver Diseases 2013 /pmc/articles/PMC4017493/ /pubmed/24834239 Text en Copyright © 2013 Research Institute for Gastroenterology and Liver Diseases http://creativecommons.org/licenses/by-nc/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License which allows users to read, copy, distribute and make derivative works for non-commercial purposes from the material, as long as the author of the original work is cited properly. |
spellingShingle | Special Article Pourhoseingholi, Mohamad Amin Vahedi, Mohsen Rahimzadeh, Mitra Sample size calculation in medical studies |
title | Sample size calculation in medical studies |
title_full | Sample size calculation in medical studies |
title_fullStr | Sample size calculation in medical studies |
title_full_unstemmed | Sample size calculation in medical studies |
title_short | Sample size calculation in medical studies |
title_sort | sample size calculation in medical studies |
topic | Special Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4017493/ https://www.ncbi.nlm.nih.gov/pubmed/24834239 |
work_keys_str_mv | AT pourhoseingholimohamadamin samplesizecalculationinmedicalstudies AT vahedimohsen samplesizecalculationinmedicalstudies AT rahimzadehmitra samplesizecalculationinmedicalstudies |