Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Pourhoseingholi, Mohamad Amin, Vahedi, Mohsen, Rahimzadeh, Mitra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Research Institute for Gastroenterology and Liver Diseases 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4017493/
https://www.ncbi.nlm.nih.gov/pubmed/24834239
_version_ 1782479964111634432
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