Perspectives in Clinical Research

STATISTICS
Year
: 2015  |  Volume : 6  |  Issue : 2  |  Page : 116--117

Common pitfalls in statistical analysis: DQPDQ values, statistical significance and confidence intervals


Priya Ranganathan1, CS Pramesh2, Marc Buyse3 
1 Department of Anaesthesiology, Tata Memorial Centre, Mumbai, Maharashtra, India
2 Department of Surgical Oncology, Division of Thoracic Surgery, Tata Memorial Centre, Mumbai, Maharashtra, India
3 International Drug Development Institute, Hasselt University, Diepenbeek, Belgium

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

In the second part of a series on pitfalls in statistical analysis, we look at various ways in which a statistically significant study result can be expressed. We debunk some of the myths regarding the SQPSQ value, explain the importance of SQconfidence intervalsSQ and clarify the importance of including both values in a paper


How to cite this article:
Ranganathan P, Pramesh C S, Buyse M. Common pitfalls in statistical analysis: "P" values, statistical significance and confidence intervals.Perspect Clin Res 2015;6:116-117


How to cite this URL:
Ranganathan P, Pramesh C S, Buyse M. Common pitfalls in statistical analysis: "P" values, statistical significance and confidence intervals. Perspect Clin Res [serial online] 2015 [cited 2019 Nov 14 ];6:116-117
Available from: http://www.picronline.org/article.asp?issn=2229-3485;year=2015;volume=6;issue=2;spage=116;epage=117;aulast=Ranganathan;type=0