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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Elsevier
2020
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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. |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-9216440 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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