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Most oxytocin administration studies are statistically underpowered to reliably detect (or reject) a wide range of effect sizes

The neuropeptide oxytocin has attracted substantial research interest for its role in behaviour and cognition; however, the evidence for its effects have been mixed. Meta-analysis is viewed as the gold-standard for synthesizing evidence, but the evidential value of a meta-analysis is dependent on th...

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Autor principal: Quintana, Daniel S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9216440/
https://www.ncbi.nlm.nih.gov/pubmed/35755627
http://dx.doi.org/10.1016/j.cpnec.2020.100014
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author Quintana, Daniel S.
author_facet Quintana, Daniel S.
author_sort Quintana, Daniel S.
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description The neuropeptide oxytocin has attracted substantial research interest for its role in behaviour and cognition; however, the evidence for its effects have been mixed. Meta-analysis is viewed as the gold-standard for synthesizing evidence, but the evidential value of a meta-analysis is dependent on the evidential value of the studies it synthesizes, and the analytical approaches used to derive conclusions. To assess the evidential value of oxytocin administration meta-analyses, this study calculated the statistical power of 107 studies from 35 meta-analyses and assessed the statistical equivalence of reported results. The mean statistical power across all studies was 12.2% and there has been no noticeable improvement in power over an eight-year period. None of the 26 non-significant meta-analyses were statistically equivalent, assuming a smallest effect size of interest of 0.1. Altogether, most oxytocin treatment study designs are statistically underpowered to either detect or reject a wide range of worthwhile effect sizes.
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spelling pubmed-92164402022-06-24 Most oxytocin administration studies are statistically underpowered to reliably detect (or reject) a wide range of effect sizes Quintana, Daniel S. Compr Psychoneuroendocrinol Clinical science The neuropeptide oxytocin has attracted substantial research interest for its role in behaviour and cognition; however, the evidence for its effects have been mixed. Meta-analysis is viewed as the gold-standard for synthesizing evidence, but the evidential value of a meta-analysis is dependent on the evidential value of the studies it synthesizes, and the analytical approaches used to derive conclusions. To assess the evidential value of oxytocin administration meta-analyses, this study calculated the statistical power of 107 studies from 35 meta-analyses and assessed the statistical equivalence of reported results. The mean statistical power across all studies was 12.2% and there has been no noticeable improvement in power over an eight-year period. None of the 26 non-significant meta-analyses were statistically equivalent, assuming a smallest effect size of interest of 0.1. Altogether, most oxytocin treatment study designs are statistically underpowered to either detect or reject a wide range of worthwhile effect sizes. Elsevier 2020-10-26 /pmc/articles/PMC9216440/ /pubmed/35755627 http://dx.doi.org/10.1016/j.cpnec.2020.100014 Text en © 2020 The Author(s) https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Clinical science
Quintana, Daniel S.
Most oxytocin administration studies are statistically underpowered to reliably detect (or reject) a wide range of effect sizes
title Most oxytocin administration studies are statistically underpowered to reliably detect (or reject) a wide range of effect sizes
title_full Most oxytocin administration studies are statistically underpowered to reliably detect (or reject) a wide range of effect sizes
title_fullStr Most oxytocin administration studies are statistically underpowered to reliably detect (or reject) a wide range of effect sizes
title_full_unstemmed Most oxytocin administration studies are statistically underpowered to reliably detect (or reject) a wide range of effect sizes
title_short Most oxytocin administration studies are statistically underpowered to reliably detect (or reject) a wide range of effect sizes
title_sort most oxytocin administration studies are statistically underpowered to reliably detect (or reject) a wide range of effect sizes
topic Clinical science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9216440/
https://www.ncbi.nlm.nih.gov/pubmed/35755627
http://dx.doi.org/10.1016/j.cpnec.2020.100014
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