On identifying effective and superior drug combinations via Holm's procedure based on the min tests.
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.
Soulakova
Julia N
JN
Department of Statistics, University of Nebraska-Lincoln, Lincoln, Nebraska, USA. jsoulakova2@unlnotes.unl.edu
D000465:Algorithms; D000806:Angiotensin-Converting Enzyme Inhibitors / Q000627:therapeutic use; D000959:Antihypertensive Agents / Q000627:therapeutic use; D001794:Blood Pressure / Q000187:drug effects; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D004232:Diuretics / Q000627:therapeutic use; D004338:Drug Combinations; D006801:Humans; D010601:Pharmacology, Clinical / Q000379:methods* / Q000706:statistics & numerical data*; D012107:Research Design
D000806:Angiotensin-Converting Enzyme Inhibitors; D000959:Antihypertensive Agents; D004232:Diuretics; D004338:Drug Combinations