报告主题：High-Dimensional Partially Linear Functional Cox Models

时间：2025年3月28日13:00-13:45

地点：腾讯会议 会议号：968 2605 9049 

报告人：陈欣

报告内容简介：

As a commonly employed method for analyzing time-to-event data involving functional predictors, the functional Cox model assumes a linear relationship between the functional principle component (FPC) scores of the functional predictors and hazard rates. However, in practical scenarios such as our study on the survival time of kidney transplant recipients, this assumption often fails to hold. To address this limitation, we introduce a high-dimensional partially linear functional Cox model which accommodates the non-linear effects of functional predictors on the response and allows for diverging numbers of scalar predictors and FPCs as the sample size increases. We employ the group SCAD method to select relevant scalar predictors and FPCs,and use B-splines to obtain a smoothed estimate of the non-linear effect. The finite sample performance of the estimates is evaluated through simulation studies. Applying the model to a kidney transplant dataset allows us to make inferences on the nonlinear relationships between FPC scores of eGFR and hazard rates, and to identify significant scalar predictors for long-term survival time. 

主讲人简介：

陈欣，上海立信会计金融学院统计与数学学院讲师，研究方向为生物统计和精准医疗，已在《Biometrics》等期刊发表论文4篇，主持国家自然科学基金委员会青年科学基金项目1项和上海市扬帆人才计划项目1项。