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| 題 名 | An Invariant Selection Rule for Multi-treatment Trial with Linear Prior Preference |
|---|---|
| 作 者 | Chen,T. Timothy; Zhang,Cun-hui; | 書刊名 | Statistica Sinica |
| 卷 期 | 7:3 1997.07[民86.07] |
| 頁 次 | 頁595-606 |
| 分類號 | 319.5 |
| 關鍵詞 | Invariance; Likelihood; Selection; |
| 語 文 | 英文(English) |
| 英文摘要 | In clinical trials, asymmetric designs are often used to reflect prior preference of treatments based on factors other than efficacy, such as toxicity and cost. We consider the case where treatments have a linear order of prior preference, and derive likelihood-based invariant procedures which select the most preferred treatment among the equally most effective ones with a preassigned error probability for normal errors, when the prior preference is solely reflected through a set of hypotheses. Extensions are given for the case where different levels of error probabilities are preassigned to the hypotheses. Application to binomial or exponential data with random censoring is through large sample approximation. |
本系統中英文摘要資訊取自各篇刊載內容。