Using the bootstrap for estimation in group sequential designs: an application to a clinical trial for nasopharyngeal cancer.
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.
LeBlanc
M
M
Southwest Oncology Group Statistical Center, Fred Hutchinson Cancer Research Center, 1100 Fairview Avenue N., MP-557, Seattle, Washington, 98109, USA.
Crowley
J
J
D000964:Antimetabolites, Antineoplastic / Q000627:therapeutic use; D000970:Antineoplastic Agents / Q000627:therapeutic use; D015982:Bias; D002945:Cisplatin / Q000627:therapeutic use; D003131:Combined Modality Therapy; D003627:Data Interpretation, Statistical; D005472:Fluorouracil / Q000627:therapeutic use; D006801:Humans; D009303:Nasopharyngeal Neoplasms / Q000188:drug therapy* / Q000401:mortality / Q000532:radiotherapy*; D016032:Randomized Controlled Trials as Topic / Q000379:methods*; D012107:Research Design; D016019:Survival Analysis
D000964:Antimetabolites, Antineoplastic; D000970:Antineoplastic Agents; D002945:Cisplatin; D005472:Fluorouracil