学术报告

发布时间:2016年12月23日 作者:唐颖   消息来源:业务办    阅读次数:[]

报告题目:Multiple Confidence Intervals for Selected Parameters Adjusted for the False Coverage Rate in Monotone Dose-Response Microarray Experiments 报 告 人:Jianan Peng,Acadia University (Canada) 教授 报告时间:2016年12月30日(周五)下午4:00-5:00 报告地点:数学楼145学术报告厅 摘要: Benjamini and Yekutieli (2005) introduced the concept of the false coverage-statement rate (FCR) to account for selection when the confidence intervals are constructed only for the selected parameters. Dose-response analysis in dose-response microarray experiments is conducted only for genes having monotone dose-response relationship, which is a selection problem. In this paper, we consider multiple confidence intervals for the mean gene expression difference between the highest dose and the control in monotone dose-response microarray experiments for selected parameters adjusted for the FCR. A simulation study is conducted to study the performance of the method proposed. The method is applied to a real dose-response microarray experiment with 16,998 genes for illustration. This is a joint work with Wei Liu, Frank Bretz and Ziv Shkedy



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