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Response‐adaptive treatment allocation for survival trials with clustered right‐censored data
Authors:Pei‐Fang Su  Siu Hung Cheung
Affiliation:1. Department of Statistics, National Cheng Kung University, Tainan, Taiwan;2. Department of Statistics, The Chinese University of Hong Kong, Hong Kong, China
Abstract:A comparison of 2 treatments with survival outcomes in a clinical study may require treatment randomization on clusters of multiple units with correlated responses. For example, for patients with otitis media in both ears, a specific treatment is normally given to a single patient, and hence, the 2 ears constitute a cluster. Statistical procedures are available for comparison of treatment efficacies. The conventional approach for treatment allocation is the adoption of a balanced design, in which half of the patients are assigned to each treatment arm. However, considering the increasing acceptability of responsive‐adaptive designs in recent years because of their desirable features, we have developed a response‐adaptive treatment allocation scheme for survival trials with clustered data. The proposed treatment allocation scheme is superior to the balanced design in that it allows more patients to receive the better treatment. At the same time, the test power for comparing treatment efficacies using our treatment allocation scheme remains highly competitive. The advantage of the proposed randomization procedure is supported by a simulation study and the redesign of a clinical study.
Keywords:allocation function  copula model  doubly adaptive biased coin design  total expected hazard  test power
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