A generalized drop-the-loser urn for clinical trials with delayed responses
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AbstractUrn models are popular and useful for adaptive designs in clinical studies. Among various urn models, the drop-the-loser rule is an efficient adaptive treatment allocation scheme, recently proposed for comparing different treatments in a clinical trial. This rule is superior to other randomization schemes in terms of variability and power. In this paper, the drop-the-loser rule is generalized to cope with more popular and practical circumstances, including (1) delayed responses when test results cannot be obtained immediately, (2) continuous responses, and (3) a prespecified target of allocation proportion. In addition, our proposed procedure has several favorable asymptotic properties such as strong consistency and asymptotic normality of the allocation proportions.
All Author(s) ListZhang LX, Chan WS, Cheung SH, Hu FF
Journal nameStatistica Sinica
Year2007
Month1
Day1
Volume Number17
Issue Number1
PublisherSTATISTICA SINICA
Pages387 - 409
ISSN1017-0405
eISSN1996-8507
LanguagesEnglish-United Kingdom
Keywordsasymptotic normality; asymptotic power; clinical trial; delayed response; randomized play-the-winner rule; strong consistency
Web of Science Subject CategoriesMathematics; Statistics & Probability; STATISTICS & PROBABILITY

Last updated on 2021-10-09 at 00:13