[article] 
inThe British Journal of Occupational Therapy > Vol.80 Issue 12 (December 2017) . - p. 752-755

Titre :	Beyond p-values: A case for clinical relevance
Type de document :	texte imprimé
Auteurs :	Alisha Ohl ; David Schelly
Année de publication :	2017
Article en page(s) :	p. 752-755
Langues :	Anglais (eng)
Mots-clés :	méthodologie  statistique
Résumé :	There are inherent flaws to relying on p-values, or statistical significance, when assessing intervention effectiveness. Perhaps the biggest limitation to reporting and discussing statistically significant findings is that they do not necessarily translate to improvements that are perceptible or meaningful to patients. This opinion piece urges researchers to go beyond the prevailing standard of reporting p-values by using additional approaches that approximate clinical relevance; specifically anchor-based and distribution-based methods. To this end, we discuss the relative strengths and weaknesses of each method, and how they can not only be incorporated into existing data analyses but also inform future research design.
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[article] Beyond p-values: A case for clinical relevance [texte imprimé] / Alisha Ohl ; David Schelly . - 2017 . - p. 752-755.
Langues : Anglais (eng)
in The British Journal of Occupational Therapy > Vol.80 Issue 12 (December 2017) . - p. 752-755

Mots-clés :	méthodologie  statistique
Résumé :	There are inherent flaws to relying on p-values, or statistical significance, when assessing intervention effectiveness. Perhaps the biggest limitation to reporting and discussing statistically significant findings is that they do not necessarily translate to improvements that are perceptible or meaningful to patients. This opinion piece urges researchers to go beyond the prevailing standard of reporting p-values by using additional approaches that approximate clinical relevance; specifically anchor-based and distribution-based methods. To this end, we discuss the relative strengths and weaknesses of each method, and how they can not only be incorporated into existing data analyses but also inform future research design.
Permalink :	./index.php?lvl=notice_display&id=57825