Premium
Using the bootstrap for estimation in group sequential designs: an application to a clinical trial for nasopharyngeal cancer
Author(s) -
LeBlanc Michael,
Crowley John
Publication year - 1999
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/(sici)1097-0258(19991015)18:19<2635::aid-sim200>3.0.co;2-7
Subject(s) - resampling , nasopharyngeal cancer , statistics , jackknife resampling , sample size determination , log rank test , clinical trial , randomized controlled trial , group (periodic table) , mathematics , oncology , computer science , medicine , survival analysis , nasopharyngeal carcinoma , estimator , radiation therapy , chemistry , organic chemistry
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. Copyright © 1999 John Wiley & Sons, Ltd.