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

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...

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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:
Biostatistics
bias (epidemiology)
confidence interval
Online Access:http://www.picronline.org/article.asp?issn=2229-3485;year=2015;volume=6;issue=2;spage=116;epage=117;aulast=Ranganathan
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spelling doaj-07fcc1393c314b188574b4775d9f2a4f2020-11-24T23:32:31ZengWolters Kluwer Medknow PublicationsPerspectives in Clinical Research2229-34852015-01-016211611710.4103/2229-3485.154016Common pitfalls in statistical analysis: "P" values, statistical significance and confidence intervalsPriya RanganathanC S PrameshMarc BuyseIn 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 paperhttp://www.picronline.org/article.asp?issn=2229-3485;year=2015;volume=6;issue=2;spage=116;epage=117;aulast=RanganathanBiostatisticsbias (epidemiology)confidence interval
collection DOAJ
language English
format Article
sources DOAJ
author Priya Ranganathan
C S Pramesh
Marc Buyse
spellingShingle Priya Ranganathan
C S Pramesh
Marc Buyse
Common pitfalls in statistical analysis: "P" values, statistical significance and confidence intervals
Perspectives in Clinical Research
Biostatistics
bias (epidemiology)
confidence interval
author_facet Priya Ranganathan
C S Pramesh
Marc Buyse
author_sort Priya Ranganathan
title Common pitfalls in statistical analysis: "P" values, statistical significance and confidence intervals
title_short Common pitfalls in statistical analysis: "P" values, statistical significance and confidence intervals
title_full Common pitfalls in statistical analysis: "P" values, statistical significance and confidence intervals
title_fullStr Common pitfalls in statistical analysis: "P" values, statistical significance and confidence intervals
title_full_unstemmed Common pitfalls in statistical analysis: "P" values, statistical significance and confidence intervals
title_sort common pitfalls in statistical analysis: "p" values, statistical significance and confidence intervals
publisher Wolters Kluwer Medknow Publications
series Perspectives in Clinical Research
issn 2229-3485
publishDate 2015-01-01
description 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
topic Biostatistics
bias (epidemiology)
confidence interval
url http://www.picronline.org/article.asp?issn=2229-3485;year=2015;volume=6;issue=2;spage=116;epage=117;aulast=Ranganathan
work_keys_str_mv AT priyaranganathan commonpitfallsinstatisticalanalysispvaluesstatisticalsignificanceandconfidenceintervals
AT cspramesh commonpitfallsinstatisticalanalysispvaluesstatisticalsignificanceandconfidenceintervals
AT marcbuyse commonpitfallsinstatisticalanalysispvaluesstatisticalsignificanceandconfidenceintervals
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