Common pitfalls in statistical analysis: Clinical versus statistical significance

In clinical research, study results, which are statistically significant are often interpreted as being clinically important. While statistical significance indicates the reliability of the study results, clinical significance reflects its impact on clinical practice. The third article in this serie...

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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/PMC4504060/
https://www.ncbi.nlm.nih.gov/pubmed/26229754
http://dx.doi.org/10.4103/2229-3485.159943
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author Ranganathan, Priya
Pramesh, C. S.
Buyse, Marc
author_facet Ranganathan, Priya
Pramesh, C. S.
Buyse, Marc
author_sort Ranganathan, Priya
collection PubMed
description In clinical research, study results, which are statistically significant are often interpreted as being clinically important. While statistical significance indicates the reliability of the study results, clinical significance reflects its impact on clinical practice. The third article in this series exploring pitfalls in statistical analysis clarifies the importance of differentiating between statistical significance and clinical significance.
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spelling pubmed-45040602015-07-30 Common pitfalls in statistical analysis: Clinical versus statistical significance Ranganathan, Priya Pramesh, C. S. Buyse, Marc Perspect Clin Res Statistics In clinical research, study results, which are statistically significant are often interpreted as being clinically important. While statistical significance indicates the reliability of the study results, clinical significance reflects its impact on clinical practice. The third article in this series exploring pitfalls in statistical analysis clarifies the importance of differentiating between statistical significance and clinical significance. Medknow Publications & Media Pvt Ltd 2015 /pmc/articles/PMC4504060/ /pubmed/26229754 http://dx.doi.org/10.4103/2229-3485.159943 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: Clinical versus statistical significance
title Common pitfalls in statistical analysis: Clinical versus statistical significance
title_full Common pitfalls in statistical analysis: Clinical versus statistical significance
title_fullStr Common pitfalls in statistical analysis: Clinical versus statistical significance
title_full_unstemmed Common pitfalls in statistical analysis: Clinical versus statistical significance
title_short Common pitfalls in statistical analysis: Clinical versus statistical significance
title_sort common pitfalls in statistical analysis: clinical versus statistical significance
topic Statistics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4504060/
https://www.ncbi.nlm.nih.gov/pubmed/26229754
http://dx.doi.org/10.4103/2229-3485.159943
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AT prameshcs commonpitfallsinstatisticalanalysisclinicalversusstatisticalsignificance
AT buysemarc commonpitfallsinstatisticalanalysisclinicalversusstatisticalsignificance

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