Title: Efficient auxiliary information synthesis for cure rate model

  Abstract: We propose a new auxiliary information synthesis method to utilize subgroup survival information at multiple time points under the semi-parametric mixture cure rate model. After summarizing the auxiliary information via estimating equations, a control variate technique is adopted to reduce the variance efficiently, together with a test statistic to check the homogeneity assumption. Revision using penalization is further considered to adaptively accommodate potential population heterogeneity. Our methods can be adjusted when the uncertainty is not negligible. We establish asymptotic properties of our proposed estimators, and demonstrate their practical performances through extensive simulations and an invasive breast cancer study.

  简介：王晓光，大连理工大学数学科学学院副教授，博士生导师。博士毕业于吉林大学数学学院，主要从事生存分析和大数据统计等方面的研究工作，指导研究生方向为数理统计和生物统计，已在Biometrics, Statistics in Medicine, Journal of Royal Statistical Society Series C: Applied Statistics等统计主流期刊上发表研究论文50余篇，出版2部教材。中国现场统计学会第十、十一届理事，中国数学会概率统计学会第十一、十二届理事。主持国家自然科学基金面上项目和青年项目。

  报告时间：2024年7月8号 9：00-10：00

  地点： 统计与数据科学学院会议室106