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Using the bootstrap for estimation in group sequential designs: an application to a clinical trial for nasopharyngeal cancer

✍ Scribed by Michael LeBlanc; John Crowley


Publisher
John Wiley and Sons
Year
1999
Tongue
English
Weight
159 KB
Volume
18
Category
Article
ISSN
0277-6715

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✦ Synopsis


We investigate a resampling method for bias correction in group sequential designs with censored survival data using logrank testing. The method draws nested bootstrap samples of di!erent sizes from the observed data in order to mimic the large sample independent increment property of statistics resulting from sequential designs. The motivation for this problem came from the very positive results and early termination of a randomized clinical trial for nasopharyngeal cancer co-ordinated by the Southwest Oncology Group.