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Semiparametric copula-based analysis for treatment effects in the presence of treatment switching

编辑:wfy 时间:2019年05月08日 访问次数:198

报告题目:Semiparametric copula-based analysis for treatment effects in the presence of treatment switching 

报告人: Chen Yi-Hau (程毅豪)教授

Institute of statistical Science, Academia Sinica, Taiwan

时间:2019520(星期一)下午16:00-

地点:玉泉校区工商管理楼多媒体厅200-9

摘要:In controlled trials, “treatment switching” occurs when patients in one treatment group switch to the alternative treatment during the trial, and poses challenges to evaluation of the treatment effects owing to crossover of the treatments groups. In this work, we assume that treatment switches occur after some disease progression event, and view the progression and death events as two semicompeting risks. The proposed model consists of a copula model for the joint distribution of time-to-progression (TTP) and overall survival (OS) before the earlier of the two events, as well as a conditional hazard model for OS subsequent to progression. The copula model facilitates assessing the marginal distributions of TTP and OS separately from the association between the two events, and, in particular, the treatment effects on TTP and on OS in the absence of treatment switching. The proposed conditional hazard model for death subsequent to progression allows us to assess the treatment switching (crossover) effect on OS given occurrence of progression and covariates. General semiparametric transformation models are employed in the marginal models for TTP and OS. A nonparametric maximum likelihood procedure is developed for model inference, which is verified through asymptotic theory and simulation studies. The proposed analysis is applied to a lung cancer dataset to illustrate its real utility. 

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联系人庞天晓 txpang@zju.edu.cn

浙江大学数学科学学院统计学研究所

报告人简介:程毅豪, 1991年获台湾大学电子工程系本科学位,1997年在台湾大学取得统计学博士学位,之后在台湾中央研究院工作至今。曾任生物统计学顶级期刊Biometrics主编(2014-2016),曾任国际重要统计期刊《Statistica Sinica》、《Annals of the Institute of Statistical Mathematics》、《Sankhya》副主编。主要从事生物统计、生存分析、不完全数据分析、遗传流行病学等领域的研究工作。在Journal of the Royal Statistical Society Ser BJournal of the American Statistical AssociationBiometricsBiostatisticsStatistics in Medicine等顶尖统计学期刊上发表学术论文六十余篇。曾获台湾“杰出研究奖”、“学术奖”和“年轻学者研究著作奖”。