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

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 ′P′ value, explain the importance of ′confidence intervals′ and clarify the importance of includin...

Full description

Bibliographic Details
Main Authors: Priya Ranganathan, C S Pramesh, Marc Buyse
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2015-01-01
Series:Perspectives in Clinical Research
Subjects:
Online Access:http://www.picronline.org/article.asp?issn=2229-3485;year=2015;volume=6;issue=2;spage=116;epage=117;aulast=Ranganathan
Description
Summary: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 ′P′ value, explain the importance of ′confidence intervals′ and clarify the importance of including both values in a paper
ISSN:2229-3485