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Rejoinder: Quantifying The Fraction Of Missing Information For Hypothesis Testing In Statistical And Genetic Studies

机译:Rejoinder:对统计和遗传研究中的假设检验的缺失信息进行量化

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Few authors would not be pleased when discussants implement their methods or follow-up on their ideas. It is therefore a professional joy to see every discussant doing both! Our heartfelt thanks go to all discussants, and to the Executive Editor, Ed George, for bringing us such joy! Incidentally, the three discussions cover nicely the three main parts of our paper. Zheng and Lo's discussion centers on our motivating application, namely, designing follow-up strategies in genetic studies, but with the additional consideration of the uncertainty in the measures themselves. Doss's discussion focuses on the second part of our paper, namely, the likelihood-based relative measure, but with applications to survival analysis where the use of partial likelihood reveals very interesting (and inevitably confusing) complications. Chang, Chen, Chien and Hsing (hereafter C_3H) comment on the third part of our paper, the Bayesian measures for small samples, and implement variations that are applied to problems in infectious disease research and isotonic regression.
机译:当讨论者实施他们的方法或对其思想进行跟进时,很少有作者会感到不满意。因此,看到每个讨论者都做这件事是一种专业的喜悦!我们衷心感谢所有讨论者以及执行编辑埃德·乔治(Ed George)给我们带来的喜悦!顺便说一句,这三个讨论很好地涵盖了本文的三个主要部分。 Zheng和Lo的讨论集中在我们的激励性应用上,即设计遗传研究中的后续策略,但还要额外考虑措施本身的不确定性。 Doss的讨论侧重于本文的第二部分,即基于似然的相对度量,但应用于生存分析,其中使用部分似然会显示出非常有趣(且不可避免地令人困惑)的并发症。 Chang,Chen,Chien和Hsing(以下称C_3H)评论了本文的第三部分,即小样本的贝叶斯测度,并实现了适用于传染病研究和等渗回归的变量。

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