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

Abstract
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 different 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.
AuthorsM LeBlanc, J Crowley
JournalStatistics in medicine (Stat Med) Vol. 18 Issue 19 Pg. 2635-44 (Oct 15 1999) ISSN: 0277-6715 [Print] England
PMID10495461 (Publication Type: Journal Article)
CopyrightCopyright 1999 John Wiley & Sons, Ltd.
Chemical References
  • Antimetabolites, Antineoplastic
  • Antineoplastic Agents
  • Cisplatin
  • Fluorouracil
Topics
  • Antimetabolites, Antineoplastic (therapeutic use)
  • Antineoplastic Agents (therapeutic use)
  • Bias
  • Cisplatin (therapeutic use)
  • Combined Modality Therapy
  • Data Interpretation, Statistical
  • Fluorouracil (therapeutic use)
  • Humans
  • Nasopharyngeal Neoplasms (drug therapy, mortality, radiotherapy)
  • Randomized Controlled Trials as Topic (methods)
  • Research Design
  • Survival Analysis

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