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Effect Size as the Essential Statistic in Developing Methods for mTBI Diagnosis
The descriptive statistic known as “effect size” measures the distinguishability of two sets of data. Distingishability is at the core of diagnosis. This article is intended to point out the importance of effect size in the development of effective diagnostics for mild traumatic brain injury and to...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4471367/ https://www.ncbi.nlm.nih.gov/pubmed/26150801 http://dx.doi.org/10.3389/fneur.2015.00126 |
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author | Gibson, Douglas Brandt |
author_facet | Gibson, Douglas Brandt |
author_sort | Gibson, Douglas Brandt |
collection | PubMed |
description | The descriptive statistic known as “effect size” measures the distinguishability of two sets of data. Distingishability is at the core of diagnosis. This article is intended to point out the importance of effect size in the development of effective diagnostics for mild traumatic brain injury and to point out the applicability of the effect size statistic in comparing diagnostic efficiency across the main proposed TBI diagnostic methods: psychological, physiological, biochemical, and radiologic. Comparing diagnostic approaches is difficult because different researcher in different fields have different approaches to measuring efficacy. Converting diverse measures to effect sizes, as is done in meta-analysis, is a relatively easy way to make studies comparable. |
format | Online Article Text |
id | pubmed-4471367 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-44713672015-07-06 Effect Size as the Essential Statistic in Developing Methods for mTBI Diagnosis Gibson, Douglas Brandt Front Neurol Neuroscience The descriptive statistic known as “effect size” measures the distinguishability of two sets of data. Distingishability is at the core of diagnosis. This article is intended to point out the importance of effect size in the development of effective diagnostics for mild traumatic brain injury and to point out the applicability of the effect size statistic in comparing diagnostic efficiency across the main proposed TBI diagnostic methods: psychological, physiological, biochemical, and radiologic. Comparing diagnostic approaches is difficult because different researcher in different fields have different approaches to measuring efficacy. Converting diverse measures to effect sizes, as is done in meta-analysis, is a relatively easy way to make studies comparable. Frontiers Media S.A. 2015-06-18 /pmc/articles/PMC4471367/ /pubmed/26150801 http://dx.doi.org/10.3389/fneur.2015.00126 Text en Copyright © 2015 Gibson. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Gibson, Douglas Brandt Effect Size as the Essential Statistic in Developing Methods for mTBI Diagnosis |
title | Effect Size as the Essential Statistic in Developing Methods for mTBI Diagnosis |
title_full | Effect Size as the Essential Statistic in Developing Methods for mTBI Diagnosis |
title_fullStr | Effect Size as the Essential Statistic in Developing Methods for mTBI Diagnosis |
title_full_unstemmed | Effect Size as the Essential Statistic in Developing Methods for mTBI Diagnosis |
title_short | Effect Size as the Essential Statistic in Developing Methods for mTBI Diagnosis |
title_sort | effect size as the essential statistic in developing methods for mtbi diagnosis |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4471367/ https://www.ncbi.nlm.nih.gov/pubmed/26150801 http://dx.doi.org/10.3389/fneur.2015.00126 |
work_keys_str_mv | AT gibsondouglasbrandt effectsizeastheessentialstatisticindevelopingmethodsformtbidiagnosis |