Power and sample size calculation for the win odds test : application to an ordinal endpoint in COVID-19 trials
The win odds is a distribution-free method of comparing locations of distributions of two independent random variables. Introduced as a method for analyzing hierarchical composite endpoints, it is well suited to be used in the analysis of ordinal scale endpoints in COVID-19 clinical trials. For a single outcome, we provide power and sample size calculation formulas for the win odds test. We also provide an implementation of the win odds analysis method for a single ordinal outcome in a commonly used statistical software to make the win odds analysis fully reproducible.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:31 |
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| Enthalten in: |
Journal of biopharmaceutical statistics - 31(2021), 6 vom: 02. Nov., Seite 765-787 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Gasparyan, Samvel B [VerfasserIn] |
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| Links: |
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| Themen: |
COVID-19 |
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| Anmerkungen: |
Date Completed 26.04.2022 Date Revised 07.06.2022 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1080/10543406.2021.1968893 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM330934503 |
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| 500 | |a Date Revised 07.06.2022 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a The win odds is a distribution-free method of comparing locations of distributions of two independent random variables. Introduced as a method for analyzing hierarchical composite endpoints, it is well suited to be used in the analysis of ordinal scale endpoints in COVID-19 clinical trials. For a single outcome, we provide power and sample size calculation formulas for the win odds test. We also provide an implementation of the win odds analysis method for a single ordinal outcome in a commonly used statistical software to make the win odds analysis fully reproducible | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a Fligner-Policello | |
| 650 | 4 | |a Mann-Whitney | |
| 650 | 4 | |a SAS software | |
| 650 | 4 | |a Somers’ D C/R | |
| 650 | 4 | |a Wilcoxon rank-sum | |
| 650 | 4 | |a Win odds | |
| 650 | 4 | |a effect size | |
| 650 | 4 | |a number needed to treat | |
| 650 | 4 | |a power | |
| 650 | 4 | |a sample size | |
| 700 | 1 | |a Kowalewski, Elaine K |e verfasserin |4 aut | |
| 700 | 1 | |a Folkvaljon, Folke |e verfasserin |4 aut | |
| 700 | 1 | |a Bengtsson, Olof |e verfasserin |4 aut | |
| 700 | 1 | |a Buenconsejo, Joan |e verfasserin |4 aut | |
| 700 | 1 | |a Adler, John |e verfasserin |4 aut | |
| 700 | 1 | |a Koch, Gary G |e verfasserin |4 aut | |
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