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- W2565232246 abstract "Seamless phase II/III clinical trials have attracted increasing attention recently. They mainly use Bayesian response adaptive randomization (RAR) designs. There has been little research into seamless clinical trials using frequentist RAR designs because of the difficulty in performing valid statistical inference following this procedure. The well-designed frequentist RAR designs can target theoretically optimal allocation proportions, and they have explicit asymptotic results. In this paper, we study the asymptotic properties of frequentist RAR designs with adjusted target allocation proportions, and investigate statistical inference for this procedure. The properties of the proposed design provide an important theoretical foundation for advanced seamless clinical trials. Our numerical studies demonstrate that the design is ethical and efficient." @default.
- W2565232246 created "2017-01-06" @default.
- W2565232246 creator A5020773441 @default.
- W2565232246 date "2017-01-19" @default.
- W2565232246 modified "2023-10-17" @default.
- W2565232246 title "Statistical inference for response adaptive randomization procedures with adjusted optimal allocation proportions" @default.
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- W2565232246 doi "https://doi.org/10.1080/10543406.2016.1269780" @default.
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