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              6月24日上海交通大學俞章盛教授來我院講座預告
              ( 來源:   發布日期:2020-06-15 閱讀:次)

              講座題目:PenalizedMixture Cure Rate and Promotion Time Cure Rate Models with Image Predictors

              主講人俞章盛 上海交通大學

              講座時間:2020年6月24日(周三)下午3:00—4:00

              講座地點:騰訊會議ID: 115 786 197

              主講人簡介:

              俞博士,上海交通大學生物信息及生物統計系長聘教授,耶魯大學生物統計系兼職教授,交大-耶魯聯合生物統計與數據科學中心副主任。美國密歇根大學統計學博士。 目前擔任兩個統計學SCI雜志Associate Editor, 及被Heart Rhythm(影響因子5.0)pediatric pulmonology(2.7)聘為Statistical Editor Editorial board member。主要研究方向:臨床試驗設計,生存分析,縱向數據分析,非參數統計,生物信息學,高通量數據分析等。

              講座摘要:

              Survival data including potentially cured subjects are common in clinical studies and mixture cure rate models are often used for analysis. The non-cured probabilities are often predicted by non-parametric, high-dimensional, or even unstructured (e.g. image) predictors, which is a challenging for traditional nonparametric methods such as spline and local kernel. For the mixture cure rate model and promotion time cure rate model, we developed the algorithm to incorporate the neural network to model the nonparametric or unstructured predictors’ effect in cure rate models. We estimate the parameters by Expectation-Maximization (EM) algorithm. Asymptotic convergence rates of our estimators are established. Simulation studies show good performance in both prediction and estimation. Finally, we analyze Primary Biliary Cirrhosis (PBC) data and Open Access Series of Imaging Studies (OASIS) data to illustrate the practical use of our methods. [Yujing Xie and Zhangsheng Yu*]


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