Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysis

During the conduct of clinical trials, it is not uncommon to have protocol violations or inability to assess outcomes. This article in our series on common pitfalls in statistical analysis explains the complexities of analyzing results from such trials and highlights the importance of “intention-to-...

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Autores principales: Ranganathan, Priya, Pramesh, C. S., Aggarwal, Rakesh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2016
Materias:
Statistics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4936074/
https://www.ncbi.nlm.nih.gov/pubmed/27453832
http://dx.doi.org/10.4103/2229-3485.184823
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author Ranganathan, Priya
Pramesh, C. S.
Aggarwal, Rakesh
author_facet Ranganathan, Priya
Pramesh, C. S.
Aggarwal, Rakesh
author_sort Ranganathan, Priya
collection PubMed
description During the conduct of clinical trials, it is not uncommon to have protocol violations or inability to assess outcomes. This article in our series on common pitfalls in statistical analysis explains the complexities of analyzing results from such trials and highlights the importance of “intention-to-treat” analysis.
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spelling pubmed-49360742016-07-22 Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysis Ranganathan, Priya Pramesh, C. S. Aggarwal, Rakesh Perspect Clin Res Statistics During the conduct of clinical trials, it is not uncommon to have protocol violations or inability to assess outcomes. This article in our series on common pitfalls in statistical analysis explains the complexities of analyzing results from such trials and highlights the importance of “intention-to-treat” analysis. Medknow Publications & Media Pvt Ltd 2016 /pmc/articles/PMC4936074/ /pubmed/27453832 http://dx.doi.org/10.4103/2229-3485.184823 Text en Copyright: © Perspectives in Clinical Research http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 3.0 License, which allows others to remix, tweak, and build upon the work non-commercially, as long as the author is credited and the new creations are licensed under the identical terms.
spellingShingle Statistics
Ranganathan, Priya
Pramesh, C. S.
Aggarwal, Rakesh
Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysis
title Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysis
title_full Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysis
title_fullStr Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysis
title_full_unstemmed Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysis
title_short Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysis
title_sort common pitfalls in statistical analysis: intention-to-treat versus per-protocol analysis
topic Statistics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4936074/
https://www.ncbi.nlm.nih.gov/pubmed/27453832
http://dx.doi.org/10.4103/2229-3485.184823
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