Asymptotics in randomized URN models
成果类型:
Article
署名作者:
Bai, ZD; Hu, FF
署名单位:
Northeast Normal University - China; National University of Singapore; University of Virginia
刊物名称:
ANNALS OF APPLIED PROBABILITY
ISSN/ISSBN:
1050-5164
DOI:
10.1214/105051604000000774
发表日期:
2005
页码:
914-940
关键词:
multiarm clinical-trials
central limit-theorems
play-winner rule
branching processes
adaptive designs
medical trials
time
摘要:
This paper studies a very general urn model stimulated by designs in clinical trials, where the number of balls of different types added to the urn at trial n depends on a random outcome directed by the composition at trials 1, 2,..., n - 1. Patient treatments are allocated according to types of balls. We establish the strong consistency and asymptotic normality for both the urn composition and the patient allocation under general assumptions on random generating matrices which determine how balls are added to the urn. Also we obtain explicit forms of the asymptotic variance-covariance matrices of both the urn composition and the patient allocation. The conditions on the nonhomogencity of generating matrices are mild and widely satisfied in applications. Several applications are also discussed.
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