Sample sizes based on three popular indices of risks

Sample size justification is a very crucial part in the design of clinical trials. In this paper, the authors derive a new formula to calculate the sample size for a binary outcome given one of the three popular indices of risk difference. The sample size based on the absolute difference is the fund...

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Detalles Bibliográficos
Autores principales: Wang, Hongyue, Wang, Bokai, Tu, Xin M, Liu, Jinyuan, Feng, Changyong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2018
Materias:
Biostatistical Methods in Psychiatry
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371655/
https://www.ncbi.nlm.nih.gov/pubmed/30815629
http://dx.doi.org/10.1136/gpsych-2018-100011
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author Wang, Hongyue
Wang, Bokai
Tu, Xin M
Liu, Jinyuan
Feng, Changyong
author_facet Wang, Hongyue
Wang, Bokai
Tu, Xin M
Liu, Jinyuan
Feng, Changyong
author_sort Wang, Hongyue
collection PubMed
description Sample size justification is a very crucial part in the design of clinical trials. In this paper, the authors derive a new formula to calculate the sample size for a binary outcome given one of the three popular indices of risk difference. The sample size based on the absolute difference is the fundamental one, which can be easily used to derive sample size given the risk ratio or OR.
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spelling pubmed-63716552019-02-27 Sample sizes based on three popular indices of risks Wang, Hongyue Wang, Bokai Tu, Xin M Liu, Jinyuan Feng, Changyong Gen Psychiatr Biostatistical Methods in Psychiatry Sample size justification is a very crucial part in the design of clinical trials. In this paper, the authors derive a new formula to calculate the sample size for a binary outcome given one of the three popular indices of risk difference. The sample size based on the absolute difference is the fundamental one, which can be easily used to derive sample size given the risk ratio or OR. BMJ Publishing Group 2018-12-05 /pmc/articles/PMC6371655/ /pubmed/30815629 http://dx.doi.org/10.1136/gpsych-2018-100011 Text en © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0
spellingShingle Biostatistical Methods in Psychiatry
Wang, Hongyue
Wang, Bokai
Tu, Xin M
Liu, Jinyuan
Feng, Changyong
Sample sizes based on three popular indices of risks
title Sample sizes based on three popular indices of risks
title_full Sample sizes based on three popular indices of risks
title_fullStr Sample sizes based on three popular indices of risks
title_full_unstemmed Sample sizes based on three popular indices of risks
title_short Sample sizes based on three popular indices of risks
title_sort sample sizes based on three popular indices of risks
topic Biostatistical Methods in Psychiatry
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371655/
https://www.ncbi.nlm.nih.gov/pubmed/30815629
http://dx.doi.org/10.1136/gpsych-2018-100011
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AT tuxinm samplesizesbasedonthreepopularindicesofrisks
AT liujinyuan samplesizesbasedonthreepopularindicesofrisks
AT fengchangyong samplesizesbasedonthreepopularindicesofrisks

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