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【11月12日】统计学学术讲座

】【打印】【关闭窗口 来源: 作者:统计与数学学院 编辑:王凝 发布时间:2021-11-10

报告题目:Efficient algorithms for survival data with multiple outcomes using the frailty model

主讲人:黄希芬博士(云南师范大学)

时间:2021年11月12日(周五)10:00 a.m.

地点:北院卓远楼305会议室      

主办单位:统计与数学学院

摘要:Survival data with multiple outcomes are frequently encountered in biomedical investigations.An illustrative example comes from the Alzheimer's Disease Neuroimaging Initiative (ADNI) study where the cognitively normal subjects may clinically progress to mild cognitive impairment (MCI) and/or Alzheimer's disease (AD) dementia. Transition time from normal cognition to MCI and that from MCI to AD are expected to be correlated within subject and the dependence is often accommodated by the frailty (random effects). Estimation in the frailty model unavoidably involves multiple integration which may be intractable and hence leads to severe computational challenges, especially in the presence of high-dimensional covariates. In this paper, we propose efficient minorization-maximization (MM) algorithms in the frailty model for survival data with multiple outcomes. The alternating direction method of multipliers (ADMM) is further incorporated for simultaneous variable selection and homogeneity pursuit via regularization and fusion. Extensive simulation studies are conducted to assess the performance of the proposed algorithms. An application to the ADNI data is also provided to illustrate their practical utilities.



主讲人简介:

黄希芬,2018年毕业于香港大学,获得博士学位。2019年云南师范大学第六层次引进人才,现任云南师范大学统计系讲师。她目前的研究方向为生存分析、非参数分析、MM算法等。现主持国自然项目一项,参与国自然项目两项。入选2019年云南省“千人计划”青年人才专项。