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- W2035220329 abstract "Two-stage, drop-the-losers designs for adaptive treatment selection have been considered by many authors. The distributions of conditional sufficient statistics and the Rao-Blackwell technique were used to obtain an unbiased estimate and to construct an exact confidence interval for the parameter of interest. In this paper, we characterize the selection process from a binomial drop-the-losers design using a truncated binomial distribution. We propose a new estimator and show that it is asymptotically consistent with a large sample size in either the first stage or the second stage. Supported by simulation analyses, we recommend the new estimator over the naive estimator and the Rao-Blackwell-type estimator based on its robustness in the finite-sample setting. We frame the concept as a simple and easily implemented procedure for phase 2 oncology trial design that can be confirmatory in nature, and we use an example to illustrate its application." @default.
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- W2035220329 date "2010-11-19" @default.
- W2035220329 modified "2023-10-14" @default.
- W2035220329 title "Parameter estimation following an adaptive treatment selection trial design" @default.
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- W2035220329 doi "https://doi.org/10.1002/bimj.200900134" @default.
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