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Activity Number: 286
Type: Contributed
Date/Time: Tuesday, August 8, 2006 : 10:30 AM to 12:20 PM
Sponsor: Biometrics Section
Abstract - #305830
Title: Adaptive Design on Adjusting Sample Size without Inflating Type I Error
Author(s): Jialu Zhang*+ and John Lawrence
Companies: U.S. Food and Drug Administration and U.S. Food and Drug Administration
Address: 10903 New Hampshire Ave., Silver Spring, MD, 20993-0002,
Keywords: sample size adjustment ; type I error ; conditional power
Abstract:

Chen, DeMets and Lan (2004) showed that in a sequential trial, with the conditional power greater than 50% under the current trend, increasing sample size at the interim analysis will not inflate type I error. The idea is appealing because increasing sample size under the condition specified in the paper, regular test statistics with no adjustment can still be applied and the type I error will not be inflated. We generalized this idea from testing null hypothesis ? = 0 to ? = ?0. Valid confidence interval and point estimate of ? will be constructed. Further, the method proposed by Cui, Wang and Hung will be compared with this approach.

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