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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Main Authors: Ranganathan, Priya, Pramesh, C. S., Buyse, Marc
Format: Online
Language:English
Published: Medknow Publications & Media Pvt Ltd 2015
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4394578/
id pubmed-4394578
recordtype oai_dc
spelling pubmed-43945782015-04-15 Common pitfalls in statistical analysis: “P” values, statistical significance and confidence intervals Ranganathan, Priya Pramesh, C. S. Buyse, Marc Statistics 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 Medknow Publications & Media Pvt Ltd 2015 /pmc/articles/PMC4394578/ /pubmed/25878958 http://dx.doi.org/10.4103/2229-3485.154016 Text en Copyright: © Perspectives in Clinical Research http://creativecommons.org/licenses/by-nc-sa/3.0 This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-Share Alike 3.0 Unported, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Ranganathan, Priya
Pramesh, C. S.
Buyse, Marc
spellingShingle Ranganathan, Priya
Pramesh, C. S.
Buyse, Marc
Common pitfalls in statistical analysis: “P” values, statistical significance and confidence intervals
author_facet Ranganathan, Priya
Pramesh, C. S.
Buyse, Marc
author_sort Ranganathan, Priya
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
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
publisher Medknow Publications & Media Pvt Ltd
publishDate 2015
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4394578/
_version_ 1613210873385451520

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