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Understanding the effect size and its measures
The evidence based medicine paradigm demands scientific reliability, but modern research seems to overlook it sometimes. The power analysis represents a way to show the meaningfulness of findings, regardless to the emphasized aspect of statistical significance. Within this statistical framework, the...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Croatian Society of Medical Biochemistry and Laboratory Medicine
2016
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4910276/ https://www.ncbi.nlm.nih.gov/pubmed/27346958 http://dx.doi.org/10.11613/BM.2016.015 |
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author | Ialongo, Cristiano |
author_facet | Ialongo, Cristiano |
author_sort | Ialongo, Cristiano |
collection | PubMed |
description | The evidence based medicine paradigm demands scientific reliability, but modern research seems to overlook it sometimes. The power analysis represents a way to show the meaningfulness of findings, regardless to the emphasized aspect of statistical significance. Within this statistical framework, the estimation of the effect size represents a means to show the relevance of the evidences produced through research. In this regard, this paper presents and discusses the main procedures to estimate the size of an effect with respect to the specific statistical test used for hypothesis testing. Thus, this work can be seen as an introduction and a guide for the reader interested in the use of effect size estimation for its scientific endeavour. |
format | Online Article Text |
id | pubmed-4910276 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Croatian Society of Medical Biochemistry and Laboratory Medicine |
record_format | MEDLINE/PubMed |
spelling | pubmed-49102762016-06-24 Understanding the effect size and its measures Ialongo, Cristiano Biochem Med (Zagreb) Review Article The evidence based medicine paradigm demands scientific reliability, but modern research seems to overlook it sometimes. The power analysis represents a way to show the meaningfulness of findings, regardless to the emphasized aspect of statistical significance. Within this statistical framework, the estimation of the effect size represents a means to show the relevance of the evidences produced through research. In this regard, this paper presents and discusses the main procedures to estimate the size of an effect with respect to the specific statistical test used for hypothesis testing. Thus, this work can be seen as an introduction and a guide for the reader interested in the use of effect size estimation for its scientific endeavour. Croatian Society of Medical Biochemistry and Laboratory Medicine 2016-06-10 2016-06-10 /pmc/articles/PMC4910276/ /pubmed/27346958 http://dx.doi.org/10.11613/BM.2016.015 Text en |
spellingShingle | Review Article Ialongo, Cristiano Understanding the effect size and its measures |
title | Understanding the effect size and its measures |
title_full | Understanding the effect size and its measures |
title_fullStr | Understanding the effect size and its measures |
title_full_unstemmed | Understanding the effect size and its measures |
title_short | Understanding the effect size and its measures |
title_sort | understanding the effect size and its measures |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4910276/ https://www.ncbi.nlm.nih.gov/pubmed/27346958 http://dx.doi.org/10.11613/BM.2016.015 |
work_keys_str_mv | AT ialongocristiano understandingtheeffectsizeanditsmeasures |