学术报告
Analysis of Missing Data in Generalized Linear Models with Random Effects-刘莉 武汉大学
报告题目: Analysis of Missing Data in Generalized Linear Models with Random Effects
报告人: 刘莉 武汉大学
Abstract：This paper is concerned with generalized linear mixed models for missing at random clustered data. We propose a novel semiparametric estimation method based on a pairwise likelihood function consisting of a product of bivariate likelihoods for pairs of observations within clusters, and develop an estimating equation-based inference procedure by treating both the error structure and random e?ects as nuisance parameters. We show that the resulting estimators are consistent and asymptotically normal. Extensive simulation studies evaluate the ?nite sample performance of the proposed estimators and demonstrate their advantage over the validation set based method and the existing method. We then apply the method to analysis a real data example.
时间：4月13日4：40——5：30
地点：首师大新教二楼509教室
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