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 "intentio...

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Main Authors:	Priya Ranganathan, C S Pramesh, Rakesh Aggarwal
Format:	Article
Language:	English
Published:	Wolters Kluwer Medknow Publications 2016-01-01
Series:	Perspectives in Clinical Research
Subjects:	Bias biostatistics intention-to-treat analysis
Online Access:	http://www.picronline.org/article.asp?issn=2229-3485;year=2016;volume=7;issue=3;spage=144;epage=146;aulast=Ranganathan

id	doaj-d499cf7a531b478598801c94a349cb35
record_format	Article
spelling	doaj-d499cf7a531b478598801c94a349cb352020-11-24T20:53:01ZengWolters Kluwer Medknow PublicationsPerspectives in Clinical Research2229-34852016-01-017314414610.4103/2229-3485.184823Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysisPriya RanganathanC S PrameshRakesh AggarwalDuring 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.http://www.picronline.org/article.asp?issn=2229-3485;year=2016;volume=7;issue=3;spage=144;epage=146;aulast=RanganathanBiasbiostatisticsintention-to-treat analysis
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Priya Ranganathan C S Pramesh Rakesh Aggarwal
spellingShingle	Priya Ranganathan C S Pramesh Rakesh Aggarwal Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysis Perspectives in Clinical Research Bias biostatistics intention-to-treat analysis
author_facet	Priya Ranganathan C S Pramesh Rakesh Aggarwal
author_sort	Priya Ranganathan
title	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_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_sort	common pitfalls in statistical analysis: intention-to-treat versus per-protocol analysis
publisher	Wolters Kluwer Medknow Publications
series	Perspectives in Clinical Research
issn	2229-3485
publishDate	2016-01-01
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.
topic	Bias biostatistics intention-to-treat analysis
url	http://www.picronline.org/article.asp?issn=2229-3485;year=2016;volume=7;issue=3;spage=144;epage=146;aulast=Ranganathan
work_keys_str_mv	AT priyaranganathan commonpitfallsinstatisticalanalysisintentiontotreatversusperprotocolanalysis AT cspramesh commonpitfallsinstatisticalanalysisintentiontotreatversusperprotocolanalysis AT rakeshaggarwal commonpitfallsinstatisticalanalysisintentiontotreatversusperprotocolanalysis
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Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysis

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