计算机科学
概念证明
背景(考古学)
选择(遗传算法)
集合(抽象数据类型)
多重比较问题
样本量测定
数据挖掘
机器学习
数学
统计
古生物学
生物
程序设计语言
操作系统
作者
José Paulo Pinheiro,Björn Bornkamp,Frank Bretz
标识
DOI:10.1080/10543400600860428
摘要
The search for an adequate dose involves some of the most complex series of decisions to be made in developing a clinically viable product. Typically decisions based on such dose-finding studies reside in two domains: (i) "proof" of evidence that the treatment is effective and (ii) the need to choose dose(s) for further development. We consider a unified strategy for designing and analyzing dose-finding studies, including the testing of proof-of-concept and the selection of one or more doses to take into further development. The methodology combines the advantages of multiple comparisons and modeling approaches, consisting of a multi-stage procedure. Proof-of-concept is tested in the first stage, using multiple comparison methods to identify statistically significant contrasts corresponding to a set of candidate models. If proof-of-concept is established in the first stage, the best model is then used for dose selection in subsequent stages.
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