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朱仲义教授学术报告会

  发布日期:2015-12-02  浏览量:697


报告题目:Simultaneous Mean and Covariance Estimation of Partially Linear Models for Longitudinal Data with Missing and Measurement Errors

人:朱仲义 教授(复旦大学)

    要:Missing responses and measurement errors are very common to be seen in practice. We develop new estimating equations, which can simultaneously estimate the mean and covariance under the partially linear model for longitudinal data with missing responses and covariate measurement errors. Specifically, we propose a novel approach to handle measurement errors by using the independence among replicated measures.  Comparing with the existing methods, the proposed method needs less  assumptions, such as those conditions in classical structural approaches or correction methods for measurement errors, and estimating the probability of being observed or imputing missing responses based on assumed models for missing responses. Additionally, the estimating equations of the proposed method is easy to implement in  most popular statistical softwares by applying existing algorithms for the standard generalized estimating equations. We establish the asymptotic properties of proposed estimators under regularity conditions, and the simulation studies demonstrate desired properties. Finally, we investigate the Lifestyle Education for Activity and Nutrition (LEAN) study and confirm the effective of intervention in producing weight loss after nine month.

    间:20151211日(星期五)上午9:00-10:00

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报告人概况:朱仲义,复旦大学统计系教授,博士研究生导师;曾任中国概率统计学会第八、九届副理事长,国际著名杂志“Statistica Sinica”的副主编;现任“应用概率统计”和“数理统计与管理”杂志编委, 中国现场统计研究会常务理事,中国统计教材编审委员会委员。专业研究方向为:保险精算;非参数和半参数统计模型;纵向数据(面板数据)模型;分位数回归模型等。参加过多项国家、省自然科学基金及其他省部级科研项目的研究;主持完成国家自然科学基金三项,国家社会科学基金一项;作为子项目负责人完成国家自然科学基金重点项目一项。目前主持国家自然科学基金一项。自从1999年至今多次访问香港大学统计与精算学系、八次访问美国著名大学。近几年发表论文80多篇(其中包括在国际统计学顶级刊物“Journal of the Royal Statistical SocietySeries B”、“Journal of the American Statistical Association”、“Annals of Statistics”、“Biometrika”和其他SCI刊物发表SCI论文四十多篇) SCI论文引用400多次,最高单篇论文被SCI论文引用近200次。作为第一完成人研究成果获得教育部自然科学二等奖一次。

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