Bootstrap methods for adaptive designs

✍ Scribed by William F. Rosenberger; Feifang Hu

• Publisher: John Wiley and Sons
• Year: 1999
• Tongue: English
• Weight: 95 KB
• Volume: 18
• Category: Article
• ISSN: 0277-6715
• DOI: 10.1002/(sici)1097-0258(19990730)18:14<1757::aid-sim212>3.0.co;2-r

✦ Synopsis

Adaptive designs generate dependent sequences of random variables that are not exchangeable. Therefore, it is not obvious how to employ a resampling scheme for con"dence interval estimation. We propose a simple procedure where observed response rates from an adaptive experiment are input to a simulation program. The program then generates sequences from the adaptive sampling scheme. We compare, via simulation, three bootstrap con"dence intervals with the asymptotic con"dence interval for two adaptive designs useful for clinical trials. A simple ranking of simulated response rates yields a con"dence interval approximation with coverage close to 1! in most cases. The method allows us to incorporate such complexities as staggered entry and delayed response. We give an example of its utility on a clinical trial of #uoxetine in depression.