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Comparing time to onset of response in antidepressant clinical trials using the cure model and the Cramer–von Mises test
Author(s) -
Tamura Roy N.,
Faries Douglas E.,
Feng Jin
Publication year - 2000
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/1097-0258(20000830)19:16<2169::aid-sim513>3.0.co;2-o
Subject(s) - statistic , censoring (clinical trials) , sample size determination , test statistic , statistics , clinical trial , antidepressant , null hypothesis , medicine , computer science , mathematics , statistical hypothesis testing , hippocampus
Currently available antidepressants have a delayed onset of action and there is considerable interest in developing new products which exhibit a shorter time to response. Previous authors have suggested using a cure model to characterize the time to response for the combination of the patients who respond and the patients who do not respond. In this paper, we use the cure model and propose a Cramer–von Mises statistic to compare the time to response distributions for patients who respond to therapy. The asymptotic null distribution of the statistic is derived. A bootstap procedure is also proposed for sample sizes typical in antidepressant clinical trials. Results of the simulation study suggest that for common designs and sample sizes used in such trials, the statistic has reasonable size and power properties as long as censoring is moderate. Copyright © 2000 John Wiley & Sons, Ltd.