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Post hoc power analysis: is it an informative and meaningful analysis?
Power analysis is a key component for planning prospective studies such as clinical trials. However, some journals in biomedical and psychosocial sciences ask for power analysis for data already collected and analysed before accepting manuscripts for publication. In this report, post hoc power analy...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6738696/ https://www.ncbi.nlm.nih.gov/pubmed/31552383 http://dx.doi.org/10.1136/gpsych-2019-100069 |
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author | Zhang, Yiran Hedo, Rita Rivera, Anna Rull, Rudolph Richardson, Sabrina Tu, Xin M |
author_facet | Zhang, Yiran Hedo, Rita Rivera, Anna Rull, Rudolph Richardson, Sabrina Tu, Xin M |
author_sort | Zhang, Yiran |
collection | PubMed |
description | Power analysis is a key component for planning prospective studies such as clinical trials. However, some journals in biomedical and psychosocial sciences ask for power analysis for data already collected and analysed before accepting manuscripts for publication. In this report, post hoc power analysis for retrospective studies is examined and the informativeness of understanding the power for detecting significant effects of the results analysed, using the same data on which the power analysis is based, is scrutinised. Monte Carlo simulation is used to investigate the performance of posthoc power analysis. |
format | Online Article Text |
id | pubmed-6738696 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-67386962019-09-24 Post hoc power analysis: is it an informative and meaningful analysis? Zhang, Yiran Hedo, Rita Rivera, Anna Rull, Rudolph Richardson, Sabrina Tu, Xin M Gen Psychiatr Biostatistical Methods in Psychiatry Power analysis is a key component for planning prospective studies such as clinical trials. However, some journals in biomedical and psychosocial sciences ask for power analysis for data already collected and analysed before accepting manuscripts for publication. In this report, post hoc power analysis for retrospective studies is examined and the informativeness of understanding the power for detecting significant effects of the results analysed, using the same data on which the power analysis is based, is scrutinised. Monte Carlo simulation is used to investigate the performance of posthoc power analysis. BMJ Publishing Group 2019-08-08 /pmc/articles/PMC6738696/ /pubmed/31552383 http://dx.doi.org/10.1136/gpsych-2019-100069 Text en © Author(s) (or their employer(s)) 2019. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/. |
spellingShingle | Biostatistical Methods in Psychiatry Zhang, Yiran Hedo, Rita Rivera, Anna Rull, Rudolph Richardson, Sabrina Tu, Xin M Post hoc power analysis: is it an informative and meaningful analysis? |
title | Post hoc power analysis: is it an informative and meaningful analysis? |
title_full | Post hoc power analysis: is it an informative and meaningful analysis? |
title_fullStr | Post hoc power analysis: is it an informative and meaningful analysis? |
title_full_unstemmed | Post hoc power analysis: is it an informative and meaningful analysis? |
title_short | Post hoc power analysis: is it an informative and meaningful analysis? |
title_sort | post hoc power analysis: is it an informative and meaningful analysis? |
topic | Biostatistical Methods in Psychiatry |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6738696/ https://www.ncbi.nlm.nih.gov/pubmed/31552383 http://dx.doi.org/10.1136/gpsych-2019-100069 |
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