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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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Autor principal: Gibson, Douglas Brandt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2015
Materias:
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
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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.
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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