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Uniformly minimum variance conditionally unbiased estimation in multi-arm multi-stage clinical trials
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Stallard, Nigel and Kimani, Peter K. (2018) Uniformly minimum variance conditionally unbiased estimation in multi-arm multi-stage clinical trials. Biometrika, 105 (2). pp. 495-501. doi:10.1093/biomet/asy004
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Official URL: https://doi.org/10.1093/biomet/asy004
Abstract
Multi-arm multi-stage clinical trials compare several experimental treatments with a control treatment, with poorly performing treatments dropped at interim analyses. This leads to inferential challenges, including the construction of unbiased treatment effect estimators. A number of estimators unbiased conditional on treatment selection have been proposed, but are specific to certain selection
rules, may ignore the comparison to the control and are not all minimum variance. We obtain estimators for treatment effects compared to the control that are uniformly minimum variance unbiased conditional on selection with any specified rule or stopping for futility.
| Item Type: | Journal Article | ||||||||
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| Subjects: | R Medicine > R Medicine (General) | ||||||||
| Divisions: | Faculty of Medicine > Warwick Medical School | ||||||||
| Library of Congress Subject Headings (LCSH): | Clinical trials -- Methodology | ||||||||
| Journal or Publication Title: | Biometrika | ||||||||
| Publisher: | Biometrika Trust | ||||||||
| ISSN: | 1464-3510 | ||||||||
| Official Date: | 1 June 2018 | ||||||||
| Dates: |
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| Volume: | 105 | ||||||||
| Number: | 2 | ||||||||
| Page Range: | pp. 495-501 | ||||||||
| DOI: | 10.1093/biomet/asy004 | ||||||||
| Status: | Peer Reviewed | ||||||||
| Publication Status: | Published | ||||||||
| Access rights to Published version: | Open Access | ||||||||
| RIOXX Funder/Project Grant: |
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