A simple two-stage design for quantitative responses with application to a study in diabetic neuropathic pain.
Two-stage designs offer substantial advantages for early phase II studies. The interim analysis following the first stage allows the study to be stopped for futility, or more positively, it might lead to early progression to the trials needed for late phase II and phase III. If the study is to continue to its second stage, then there is an opportunity for a revision of the total sample size. Two-stage designs have been implemented widely in oncology studies in which there is a single treatment arm and patient responses are binary. In this paper the case of two-arm comparative studies in which responses are quantitative is considered. This setting is common in therapeutic areas other than oncology. It will be assumed that observations are normally distributed, but that there is some doubt concerning their standard deviation, motivating the need for sample size review. The work reported has been motivated by a study in diabetic neuropathic pain, and the development of the design for that trial is described in detail.
Whitehead
John
J
Medical and Pharmaceutical Statistics Research Unit, Department of Mathematics and Statistics, Lancaster University, Lancaster, UK. j.whitehead@lancaster.ac.uk
Valdés-Márquez
Elsa
E
Lissmats
Agneta
A
D000700:Analgesics / Q000627:therapeutic use; D017322:Clinical Trials, Phase II as Topic / Q000379:methods*; D003198:Computer Simulation; D003929:Diabetic Neuropathies / Q000188:drug therapy*; D006801:Humans; D015233:Models, Statistical; D012107:Research Design / Q000706:statistics & numerical data*; D018401:Sample Size
D000700:Analgesics