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Power estimations for non-primary outcomes in randomised clinical trials
Objective and methods: It is rare that trialists report power estimations of non-primary outcomes. In the present article, we will describe how to define a valid hierarchy of outcomes in a randomised clinical trial, to limit problems with Type I and Type II errors, using considerations on the clinic...
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/PMC6588976/ https://www.ncbi.nlm.nih.gov/pubmed/31175197 http://dx.doi.org/10.1136/bmjopen-2018-027092 |
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author | Jakobsen, Janus Christian Ovesen, Christian Winkel, Per Hilden, Jørgen Gluud, Christian Wetterslev, Jørn |
author_facet | Jakobsen, Janus Christian Ovesen, Christian Winkel, Per Hilden, Jørgen Gluud, Christian Wetterslev, Jørn |
author_sort | Jakobsen, Janus Christian |
collection | PubMed |
description | Objective and methods: It is rare that trialists report power estimations of non-primary outcomes. In the present article, we will describe how to define a valid hierarchy of outcomes in a randomised clinical trial, to limit problems with Type I and Type II errors, using considerations on the clinical relevance of the outcomes and power estimations. Conclusion: Power estimations of non-primary outcomes may guide trialists in classifying non-primary outcomes as secondary or exploratory. The power estimations are simple and if they are used systematically, more appropriate outcome hierarchies can be defined, and trial results will become more interpretable. |
format | Online Article Text |
id | pubmed-6588976 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-65889762019-07-05 Power estimations for non-primary outcomes in randomised clinical trials Jakobsen, Janus Christian Ovesen, Christian Winkel, Per Hilden, Jørgen Gluud, Christian Wetterslev, Jørn BMJ Open Research Methods Objective and methods: It is rare that trialists report power estimations of non-primary outcomes. In the present article, we will describe how to define a valid hierarchy of outcomes in a randomised clinical trial, to limit problems with Type I and Type II errors, using considerations on the clinical relevance of the outcomes and power estimations. Conclusion: Power estimations of non-primary outcomes may guide trialists in classifying non-primary outcomes as secondary or exploratory. The power estimations are simple and if they are used systematically, more appropriate outcome hierarchies can be defined, and trial results will become more interpretable. BMJ Publishing Group 2019-06-06 /pmc/articles/PMC6588976/ /pubmed/31175197 http://dx.doi.org/10.1136/bmjopen-2018-027092 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 | Research Methods Jakobsen, Janus Christian Ovesen, Christian Winkel, Per Hilden, Jørgen Gluud, Christian Wetterslev, Jørn Power estimations for non-primary outcomes in randomised clinical trials |
title | Power estimations for non-primary outcomes in randomised clinical trials |
title_full | Power estimations for non-primary outcomes in randomised clinical trials |
title_fullStr | Power estimations for non-primary outcomes in randomised clinical trials |
title_full_unstemmed | Power estimations for non-primary outcomes in randomised clinical trials |
title_short | Power estimations for non-primary outcomes in randomised clinical trials |
title_sort | power estimations for non-primary outcomes in randomised clinical trials |
topic | Research Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6588976/ https://www.ncbi.nlm.nih.gov/pubmed/31175197 http://dx.doi.org/10.1136/bmjopen-2018-027092 |
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