Soulakova Julia N
Department of Statistics, University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
J Biopharm Stat. 2009;19(2):280-91. doi: 10.1080/10543400802622469.
In this paper I consider a problem of identifying all effective and superior drug combinations. I formulate this problem in terms of a family of hypotheses and propose a two-stage method to solve it. The first stage uses individual p-values obtained via the Min tests, whereas Holm's approach is employed in the second stage to draw simultaneous inferences. This procedure is shown to control the family-wise error rate in a strong sense. The performance of the procedure is studied by simulation for different parameter settings. The conclusions of the simulation study are stated in terms of the power, family-wise error rate and lack of power.
在本文中，我考虑了识别所有有效且更优药物组合的问题。我根据一组假设来阐述这个问题，并提出了一种两阶段方法来解决它。第一阶段使用通过最小检验获得的个体p值，而第二阶段采用霍尔姆方法进行同时推断。结果表明，该程序在很强的意义上控制了族系错误率。通过针对不同参数设置的模拟研究了该程序的性能。模拟研究的结论从功效、族系错误率和功效不足等方面进行了阐述。
