報告題目：A rank-based approach to estimating monotone individualized two treatment regimes
報 告 人：張海祥 副教授 天津大學
報告時間：2020年7月3日 08:30-09:30
報告地點：騰訊會議
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校内聯系人：程建華 chengjh@jlu.edu.cn
會議ID：792 829 153
會議密碼：0703
報告摘要：
Developing effective individualized treatment rules (ITRs) for diseases is an important goal of clinical research. Much effort has been devoted to estimating individualized treatment effects in the recent literature. However, there have not been systematic studies on the robust inference for individualized treatment effects when there exist potential outliers. We propose a monotone ITR in the framework of a semiparametric generalized regression with two treatments and estimate the treatment effects via a smoothed maximum rank correlation procedure. We provide sufficient conditions under which the proposed estimator has an asymptotically normal distribution whose variance can be consistently estimated based on a resampling procedure. We evaluate the finite-sample properties of our proposed approach via simulation studies. We also illustrate the proposed method by applying it to a data set from an AIDS clinical trials study
報告人簡介：
張海祥，天津大學應用數學中心副教授，碩士生導師。2012年于吉林大學獲得博士學位，中國科學院和美國西北大學博士後。主要研究方向包括；中介分析、精準醫學、微生物組數據分析、時間序列分析等。已經在Statistica Sinica、Bioinformatics、Computational Statistics and Data Analysis、Journal of Time Series Analysis、Journal of Multivariate Analysis等國際期刊上發表學術論文24篇。
