artbin: Extended sample size for randomized trials with binary outcomes

We describe the command artbin, which offers various new facilities for the calculation of sample size for binary outcome variables that are not otherwise available in Stata. While artbin has been available since 2004, it has not been previously described in the Stata Journal. artbin has been recent...

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Detalles Bibliográficos
Autores principales: Marley-Zagar, Ella, White, Ian R., Royston, Patrick, Barthel, Friederike M.-S., Parmar, Mahesh K. B., Babiker, Abdel G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614770/
https://www.ncbi.nlm.nih.gov/pubmed/37461744
http://dx.doi.org/10.1177/1536867X231161971
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author Marley-Zagar, Ella
White, Ian R.
Royston, Patrick
Barthel, Friederike M.-S.
Parmar, Mahesh K. B.
Babiker, Abdel G.
author_facet Marley-Zagar, Ella
White, Ian R.
Royston, Patrick
Barthel, Friederike M.-S.
Parmar, Mahesh K. B.
Babiker, Abdel G.
author_sort Marley-Zagar, Ella
collection PubMed
description We describe the command artbin, which offers various new facilities for the calculation of sample size for binary outcome variables that are not otherwise available in Stata. While artbin has been available since 2004, it has not been previously described in the Stata Journal. artbin has been recently updated to include new options for different statistical tests, methods and study designs, improved syntax, and better handling of noninferiority trials. In this article, we describe the updated version of artbin and detail the various formulas used within artbin in different settings.
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spelling pubmed-76147702023-07-17 artbin: Extended sample size for randomized trials with binary outcomes Marley-Zagar, Ella White, Ian R. Royston, Patrick Barthel, Friederike M.-S. Parmar, Mahesh K. B. Babiker, Abdel G. Stata J Article We describe the command artbin, which offers various new facilities for the calculation of sample size for binary outcome variables that are not otherwise available in Stata. While artbin has been available since 2004, it has not been previously described in the Stata Journal. artbin has been recently updated to include new options for different statistical tests, methods and study designs, improved syntax, and better handling of noninferiority trials. In this article, we describe the updated version of artbin and detail the various formulas used within artbin in different settings. 2023-03 2023-04-05 /pmc/articles/PMC7614770/ /pubmed/37461744 http://dx.doi.org/10.1177/1536867X231161971 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/) International license.
spellingShingle Article
Marley-Zagar, Ella
White, Ian R.
Royston, Patrick
Barthel, Friederike M.-S.
Parmar, Mahesh K. B.
Babiker, Abdel G.
artbin: Extended sample size for randomized trials with binary outcomes
title artbin: Extended sample size for randomized trials with binary outcomes
title_full artbin: Extended sample size for randomized trials with binary outcomes
title_fullStr artbin: Extended sample size for randomized trials with binary outcomes
title_full_unstemmed artbin: Extended sample size for randomized trials with binary outcomes
title_short artbin: Extended sample size for randomized trials with binary outcomes
title_sort artbin: extended sample size for randomized trials with binary outcomes
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7614770/
https://www.ncbi.nlm.nih.gov/pubmed/37461744
http://dx.doi.org/10.1177/1536867X231161971
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