报 告 人：秦国友报告题目：Estimation of a partially linear additive model for data from an outcome-dependent sampling design with a continuous outcome报告时间：2016年11月27日（周日）上午9：00-10：00报告地点：静远楼203会议室主办单位：数学与统计学院、科技处报告摘要： Outcome-dependent sampling (ODS) designs have been well recognized as a cost-effective way to enhance study efficiency in both statistical literature and biomedical and epidemiologic studies. A partially linear additive model (PLAM) is widely applied in real problems because it allows for a flexible specification of the dependence of the response on some covariates in a linear fashion and other covariates in a nonlinear non-parametric fashion. Motivated by an epidemiological study investigating the effect of prenatal polychlorinated biphenyls (PCB) exposure on children's intelligence quotient (IQ) at age 7 years, we propose a partially linear additive model in this article to investigate a more flexible non-parametric inference on the relationships among the response and covariates under the ODS scheme. We propose the estimation method and establish the asymptotic properties of the proposed estimator. Simulation studies are conducted to show the improved efficiency of the proposed ODS estimator for PLAM than that from a traditional simple random sampling (SRS) design with the same sample size. The data of the above-mentioned study is analyzed to illustrate the proposed method.报告人简介： 秦国友, 博士, 复旦大学副教授，复旦大学公共卫生学院生物统计教研室主任, 研究方向：统计方法在公共卫生,医学中的应用， 纵向数据分析，半参数模型的稳健推断，缺失数据分析，Inference of outcome-dependent sampling design，经验似然推断。迄今为止，发表SCI论文30余篇。 2014年度教育部高等学校科学研究优秀成果奖二等奖(第二完成人)，担任中华预防医学会生物统计专业青年委员会主任委员。
