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Song, James, Verbeeck, Johan, Huang, Bo, Hoaglin, David C., Gamalo-Siebers, Margaret, Seifu, Yodit, Wang, Duolao 
ORCID: https://orcid.org/0000-0003-2788-2464, Cooner, Freda and Dong, Gaohong
(2022)
'The win odds: statistical inference and regression'. Journal of Biopharmaceutical Statistics, Vol 33, Issue 2, pp. 140-150.
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The win odds-Final.pdf - Accepted Version Available under License Creative Commons Attribution Non-commercial No Derivatives. Download (411kB) | Preview |
Abstract
Generalized pairwise comparisons and win statistics (i.e., win ratio, win odds and net benefit) are advantageous in analyzing and interpreting a composite of multiple outcomes in clinical trials. An important limitation of these statistics is their inability to adjust for covariates other than by stratified analysis. Because the win ratio does not account for ties, the win odds, a modification that includes ties, has attracted attention. We review and combine information on the win odds to articulate the statistical inferences for the win odds. We also show alternative variance estimators based on the exact permutation and bootstrap as well as statistical inference via the probabilistic index. Finally, we extend multiple-covariate regression probabilistic index models to the win odds with a univariate outcome. As an illustration we apply the regression models to the data in the CHARM trial.
| Item Type: | Article |
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| Subjects: | QU Biochemistry > QU 26.5 Informatics. Automatic data processing. Computers |
| Faculty: Department: | Clinical Sciences & International Health > Clinical Sciences Department |
| Digital Object Identifer (DOI): | https://doi.org/10.1080/10543406.2022.2089156 |
| SWORD Depositor: | JISC Pubrouter |
| Depositing User: | JISC Pubrouter |
| Date Deposited: | 18 Oct 2022 13:00 |
| Last Modified: | 23 Mar 2023 14:59 |
| URI: | https://archive.lstmed.ac.uk/id/eprint/21046 |
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