Common pitfalls in statistical analysis: “No evidence of effect” versus “evidence of no effect”

This article is the first in a series exploring common pitfalls in statistical analysis in biomedical research. The power of a clinical trial is the ability to find a difference between treatments, where such a difference exists. At the end of the study, the lack of difference between treatments doe...

Descripción completa

Detalles Bibliográficos
Autores principales: Ranganathan, Priya, Pramesh, C. S., Buyse, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Medknow Publications & Media Pvt Ltd 2015
Materias:
Statistics
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4314850/
https://www.ncbi.nlm.nih.gov/pubmed/25657905
http://dx.doi.org/10.4103/2229-3485.148821
_version_ 1782355380279443456
author Ranganathan, Priya
Pramesh, C. S.
Buyse, Marc
author_facet Ranganathan, Priya
Pramesh, C. S.
Buyse, Marc
author_sort Ranganathan, Priya
collection PubMed
description This article is the first in a series exploring common pitfalls in statistical analysis in biomedical research. The power of a clinical trial is the ability to find a difference between treatments, where such a difference exists. At the end of the study, the lack of difference between treatments does not mean that the treatments can be considered equivalent. The distinction between “no evidence of effect” and “evidence of no effect” needs to be understood.
format Online
Article
Text
id pubmed-4314850
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher Medknow Publications & Media Pvt Ltd
record_format MEDLINE/PubMed
spelling pubmed-43148502015-02-05 Common pitfalls in statistical analysis: “No evidence of effect” versus “evidence of no effect” Ranganathan, Priya Pramesh, C. S. Buyse, Marc Perspect Clin Res Statistics This article is the first in a series exploring common pitfalls in statistical analysis in biomedical research. The power of a clinical trial is the ability to find a difference between treatments, where such a difference exists. At the end of the study, the lack of difference between treatments does not mean that the treatments can be considered equivalent. The distinction between “no evidence of effect” and “evidence of no effect” needs to be understood. Medknow Publications & Media Pvt Ltd 2015 /pmc/articles/PMC4314850/ /pubmed/25657905 http://dx.doi.org/10.4103/2229-3485.148821 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.
spellingShingle Statistics
Ranganathan, Priya
Pramesh, C. S.
Buyse, Marc
Common pitfalls in statistical analysis: “No evidence of effect” versus “evidence of no effect”
title Common pitfalls in statistical analysis: “No evidence of effect” versus “evidence of no effect”
title_full Common pitfalls in statistical analysis: “No evidence of effect” versus “evidence of no effect”
title_fullStr Common pitfalls in statistical analysis: “No evidence of effect” versus “evidence of no effect”
title_full_unstemmed Common pitfalls in statistical analysis: “No evidence of effect” versus “evidence of no effect”
title_short Common pitfalls in statistical analysis: “No evidence of effect” versus “evidence of no effect”
title_sort common pitfalls in statistical analysis: “no evidence of effect” versus “evidence of no effect”
topic Statistics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4314850/
https://www.ncbi.nlm.nih.gov/pubmed/25657905
http://dx.doi.org/10.4103/2229-3485.148821
work_keys_str_mv AT ranganathanpriya commonpitfallsinstatisticalanalysisnoevidenceofeffectversusevidenceofnoeffect
AT prameshcs commonpitfallsinstatisticalanalysisnoevidenceofeffectversusevidenceofnoeffect
AT buysemarc commonpitfallsinstatisticalanalysisnoevidenceofeffectversusevidenceofnoeffect

Ejemplares similares