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報告題目：Efficient algorithms for survival data with multiple outcomes using the frailty model

主講人：黃希芬博士（云南師范大學(xué)）

時間：2021年11月12日（周五）10:00 a.m.

地點(diǎn)：北院卓遠(yuǎn)樓305會議室      

主辦單位：統(tǒng)計(jì)與數(shù)學(xué)學(xué)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.

主講人簡介：

黃希芬，2018年畢業(yè)于香港大學(xué)，獲得博士學(xué)位。2019年云南師范大學(xué)第六層次引進(jìn)人才，現(xiàn)任云南師范大學(xué)統(tǒng)計(jì)系講師。她目前的研究方向?yàn)樯娣治觥⒎菂?shù)分析、MM算法等。現(xiàn)主持國自然項(xiàng)目一項(xiàng)，參與國自然項(xiàng)目兩項(xiàng)。入選2019年云南省“千人計(jì)劃”青年人才專項(xiàng)。