A proposed approach for analyzing post-study therapy effect in survival analysis. Issue 4 (3rd July 2016)

• Record Type: Journal Article
• Authors: Luo, Xiaolong; Li, Mingyu; Wu, Chengqing; Xu, Qiang; Chen, Guang; Dornseif, Bruce E.; Renschler, Markus F.; Koch, Gary
• Is Part Of: Journal of biopharmaceutical statistics. Volume 26:Issue 4(2016)
• Page Start: 790
• Page End: 800
• Publication Date: 2016-07-03
• Subjects: Cancer trial -- crossover -- survival analysis; Pharmacy -- Statistical methods -- Periodicals; Drugs -- Testing -- Statistical methods -- Periodicals; Biometry -- Periodicals; Biopharmaceutics -- Periodicals; Pharmacokinetics -- Periodicals; 615.19
• DOI: 10.1080/10543406.2015.1074916
• Languages: English
• ISSNs: 1054-3406

Abstract

ABSTRACT: Clinical trials that explore long-term endpoints may confound the analysis when post-study therapy effects are considered. This article introduces a procedure to mediate the effects of confounding and allow inferences of first-line experimental treatments in the presence of post-study therapy. The procedure is evaluated by intensive simulation analyses and applied to an analysis of a clinical cancer trial.