Laska E M, Meisner M, Siegel C
Statistical Sciences & Epidemiology Division, Nathan S. Kline Institute for Psychiatric Research, Orangeburg, New York 10962.
Biometrics. 1994 Sep;50(3):834-41.
Current statistical designs for studying whether two or more agents in combination act synergistically nearly always require the study of several doses of many dose ratios. The analysis is usually based on an assumed parametric model of the dose-response surface. In this paper, for both quantal and quantitative response variables, sufficient conditions are given for establishing synergy at a dose of the combination without the need to specify the model. This enables the use of simple designs with few doses even when there is sparse knowledge of the dose-response curves of the individual agents. The Min test, used for testing whether an identified treatment is best, may be used for testing synergy. Power issues are discussed.
当前用于研究两种或多种药物联合使用是否具有协同作用的统计设计几乎总是需要对多种剂量比的多个剂量进行研究。分析通常基于剂量反应表面的假设参数模型。在本文中,对于定性和定量反应变量,给出了在不指定模型的情况下确定联合用药剂量时协同作用的充分条件。这使得即使在对单个药物的剂量反应曲线了解甚少的情况下,也可以使用少量剂量的简单设计。用于检验所确定的治疗是否最佳的Min检验可用于检验协同作用。文中还讨论了效能问题。