报告时间：2023年11月17日下午16：00-17：00
报告地点：明德主楼1016
报告人：赵玮
报告主题：A varying-coefficient partially linear transformation model for length-biased data with an application to HIV vaccine studies
报告摘要：Prevalent cohort studies in medical research often give rise to length-biased survival data that require special treatments. The recently proposed varying-coefficient partially linear transformation (VCPLT) model has the virtue of providing a more dynamic content of the effects of the covariates on survival times than the well-known partially linear transformation (PLT) model by allowing flexible interactions between the covariates. However, no existing analysis of the VCPLT model has considered length-biased sampling. In this paper, we consider the VCPLT model when the data are length-biased and right censored, thereby extending the reach of this flexible and powerful tool. We develop a martingale estimating function-based approach to the estimation of this model, provide theoretical underpinnings, evaluate finite sample performance via simulations, and showcase its practical appeal via an empirical application using data from two HIV vaccine clinical trials conducted by the U.S. National Institute of Allergy and Infectious Diseases.
报告人简介：赵玮，山东大学金融研究院副研究员，山东大学未来计划青年学者。主要研究方向为复杂数据、半参数和非参数估计、潜类分析。曾在JRSSB、CSDA等统计学权威期刊发表文章多篇，主持国家自然科学基金青年项目一项。
扫描下方二维码报名↘
所有消息会在两个群中同步通知
请大家不要重复加群~
