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Sample size calculation in clinical trial using R

Since the era of evidence-based medicine, it has become a matter of course to use statistics to create objective evidence in clinical research. As an extension of this, it has become essential in clinical research to calculate the correct sample size to demonstrate a clinically significant differenc...

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Autores principales: Park, Suyeon, Kim, Yeong-Haw, Bang, Hae In, Park, Youngho
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Endo-Laparoscopic & Robotic Surgery 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020745/
https://www.ncbi.nlm.nih.gov/pubmed/36936043
http://dx.doi.org/10.7602/jmis.2023.26.1.9
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author Park, Suyeon
Kim, Yeong-Haw
Bang, Hae In
Park, Youngho
author_facet Park, Suyeon
Kim, Yeong-Haw
Bang, Hae In
Park, Youngho
author_sort Park, Suyeon
collection PubMed
description Since the era of evidence-based medicine, it has become a matter of course to use statistics to create objective evidence in clinical research. As an extension of this, it has become essential in clinical research to calculate the correct sample size to demonstrate a clinically significant difference before starting the study. Also, because sample size calculation methods vary from study design to study design, there is no formula for sample size calculation that applies to all designs. It is very important for us to understand this. In this review, each sample size calculation method suitable for various study designs was introduced using the R program (R Foundation for Statistical Computing). In order for clinical researchers to directly utilize it according to future research, we presented practice codes, output results, and interpretation of results for each situation.
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spelling pubmed-100207452023-03-18 Sample size calculation in clinical trial using R Park, Suyeon Kim, Yeong-Haw Bang, Hae In Park, Youngho J Minim Invasive Surg Review Article Since the era of evidence-based medicine, it has become a matter of course to use statistics to create objective evidence in clinical research. As an extension of this, it has become essential in clinical research to calculate the correct sample size to demonstrate a clinically significant difference before starting the study. Also, because sample size calculation methods vary from study design to study design, there is no formula for sample size calculation that applies to all designs. It is very important for us to understand this. In this review, each sample size calculation method suitable for various study designs was introduced using the R program (R Foundation for Statistical Computing). In order for clinical researchers to directly utilize it according to future research, we presented practice codes, output results, and interpretation of results for each situation. The Korean Society of Endo-Laparoscopic & Robotic Surgery 2023-03-15 2023-03-15 /pmc/articles/PMC10020745/ /pubmed/36936043 http://dx.doi.org/10.7602/jmis.2023.26.1.9 Text en Copyright © The Korean Society of Endo-Laparoscopic & Robotic Surgery. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0 (https://creativecommons.org/licenses/by-nc/4.0/) ) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Park, Suyeon
Kim, Yeong-Haw
Bang, Hae In
Park, Youngho
Sample size calculation in clinical trial using R
title Sample size calculation in clinical trial using R
title_full Sample size calculation in clinical trial using R
title_fullStr Sample size calculation in clinical trial using R
title_full_unstemmed Sample size calculation in clinical trial using R
title_short Sample size calculation in clinical trial using R
title_sort sample size calculation in clinical trial using r
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10020745/
https://www.ncbi.nlm.nih.gov/pubmed/36936043
http://dx.doi.org/10.7602/jmis.2023.26.1.9
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