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20170622 曹宏媛:Regression analysis of longitudinal data with omitted asynchronous longitudinal covariate
时间:2018-06-10

时间:622 10:00-11:00

地点:明德主楼1016会议室

题目:Regression analysis of longitudinal data with omitted asynchronous longitudinal covariate

 

摘要:Long term follow-up with longitudinal data is common in many medical investigations. In such studies, some longitudinal covariate can be omitted for various reasons. Naïve approach that simply ignores the omitted longitudinal covariate can lead to biased estimators. In this article, we propose new unbiased estimation methods to accommodate omitted longitudinal covariate. In addition, if the omitted longitudinal covariate is asynchronous with the longitudinal response, a two stage approach is proposed for valid statistical inference. Asymptotic properties of the proposed estimators are established. Extensive simulation studies provide numerical support for the theoretical findings. We illustrate the performance of our method on data-set from an HIV study. 

 

简介: Dr. Cao is an assistant professor of statistics at University of Missouri-Columbia. She got her Ph.D. in statistics from UNC-Chapel Hill in 2010. She published over 20 papers among which several are in top statistics journals, such as Biometrika, Journal of the American Statistical Association and Journal of The Royal Statistical Society, Series B. Her research interests include High dimensional and large scale statistical analysis, survival analysis, longitudinal data analysis and Bioinformatics.