Perspectives in Clinical Research

STATISTICS
Year
: 2016  |  Volume : 7  |  Issue : 3  |  Page : 144--146

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


Priya Ranganathan1, CS Pramesh2, Rakesh Aggarwal3 
1 Department of Anaesthesiology, Tata Memorial Centre, Parel, Mumbai, Maharashtra, India
2 Department of Surgical Oncology, Division of Thoracic Surgery, Tata Memorial Centre, Parel, Mumbai, Maharashtra, India
3 Department of Gastroenterology, Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow, Uttar Pradesh, India

Correspondence Address:
Priya Ranganathan
Department of Anaesthesiology, Tata Memorial Centre, Ernest Borges Road, Parel, Mumbai - 400 012, Maharashtra
India

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 «DQ»intention-to-treat«DQ» analysis.


How to cite this article:
Ranganathan P, Pramesh C S, Aggarwal R. Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysis.Perspect Clin Res 2016;7:144-146


How to cite this URL:
Ranganathan P, Pramesh C S, Aggarwal R. Common pitfalls in statistical analysis: Intention-to-treat versus per-protocol analysis. Perspect Clin Res [serial online] 2016 [cited 2020 Nov 30 ];7:144-146
Available from: https://www.picronline.org/article.asp?issn=2229-3485;year=2016;volume=7;issue=3;spage=144;epage=146;aulast=Ranganathan;type=0