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Some extensions of Langenberg model for clinical trials with delayed observations normally distributed responses

机译:Langenberg模型的某些扩展,用于具有延迟观测值的正态分布响应的临床试验

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摘要

Langenberg and Srinivasan [1981. On the Colton model for clinical trials with delayed observations normally distributed responses. Biometrics 37, 143–148.] proposed two simple procedures for analyzing data from patients who arrive during the waiting period, caused by the lag, between the trial and treatment stages of the model. The relative performance of the procedures in the Bayesian framework is discussed when the responses to two treatments are normally distributed with unknown means and a common known variance. A generalization of the Langenberg and Srinivasan formulation of the two procedures to an arbitrary finite number of populations is proposed. Results for the special case of two populations, one of them known, are presented.
机译:Langenberg和Srinivasan [1981年。在具有延迟观察的临床试验的科尔顿模型上,正态分布响应。 Biometrics 37,143–148。]提出了两种简单的程序,用于分析模型试验阶段和治疗阶段之间由于滞后而在等待期间到达的患者的数据。当对两种治疗的反应均以未知均值和公知方差进行正态分布时,将讨论贝叶斯框架中程序的相对性能。建议将这两个过程的Langenberg和Srinivasan公式推广到任意有限数量的总体。给出了两个种群(其中一个已知)的特殊情况的结果。

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