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A template for the authoring of statistical analysis plans

A number of principal investigators may have limited access to biostatisticians, a lack of biostatistical training, or no requirement to complete a timely statistical analysis plan (SAP). SAPs completed early will identify design or implementation weak points, improve protocols, remove the temptatio...

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Detalles Bibliográficos
Autores principales: Stevens, Gary, Dolley, Shawn, Mogg, Robin, Connor, Jason T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300078/
https://www.ncbi.nlm.nih.gov/pubmed/37388218
http://dx.doi.org/10.1016/j.conctc.2023.101100
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author Stevens, Gary
Dolley, Shawn
Mogg, Robin
Connor, Jason T.
author_facet Stevens, Gary
Dolley, Shawn
Mogg, Robin
Connor, Jason T.
author_sort Stevens, Gary
collection PubMed
description A number of principal investigators may have limited access to biostatisticians, a lack of biostatistical training, or no requirement to complete a timely statistical analysis plan (SAP). SAPs completed early will identify design or implementation weak points, improve protocols, remove the temptation for p-hacking, and enable proper peer review by stakeholders considering funding the trial. An SAP completed at the same time as the study protocol might be the only comprehensive method for at once optimizing sample size, identifying bias, and applying rigor to study design. This ordered corpus of SAP sections with detailed definitions and a variety of examples represents an omnibus of best practice methods offered by biostatistical practitioners inside and outside of industry. The article presents a protocol template for clinical research design, enabling statisticians, from beginners to advanced.
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spelling pubmed-103000782023-06-29 A template for the authoring of statistical analysis plans Stevens, Gary Dolley, Shawn Mogg, Robin Connor, Jason T. Contemp Clin Trials Commun Article A number of principal investigators may have limited access to biostatisticians, a lack of biostatistical training, or no requirement to complete a timely statistical analysis plan (SAP). SAPs completed early will identify design or implementation weak points, improve protocols, remove the temptation for p-hacking, and enable proper peer review by stakeholders considering funding the trial. An SAP completed at the same time as the study protocol might be the only comprehensive method for at once optimizing sample size, identifying bias, and applying rigor to study design. This ordered corpus of SAP sections with detailed definitions and a variety of examples represents an omnibus of best practice methods offered by biostatistical practitioners inside and outside of industry. The article presents a protocol template for clinical research design, enabling statisticians, from beginners to advanced. Elsevier 2023-06-09 /pmc/articles/PMC10300078/ /pubmed/37388218 http://dx.doi.org/10.1016/j.conctc.2023.101100 Text en © 2023 The Authors https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Stevens, Gary
Dolley, Shawn
Mogg, Robin
Connor, Jason T.
A template for the authoring of statistical analysis plans
title A template for the authoring of statistical analysis plans
title_full A template for the authoring of statistical analysis plans
title_fullStr A template for the authoring of statistical analysis plans
title_full_unstemmed A template for the authoring of statistical analysis plans
title_short A template for the authoring of statistical analysis plans
title_sort template for the authoring of statistical analysis plans
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10300078/
https://www.ncbi.nlm.nih.gov/pubmed/37388218
http://dx.doi.org/10.1016/j.conctc.2023.101100
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