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数学学院 、所系列学术报告(706场):美国密苏里大学Hongyuan Cao教授

admin 发表于: 2017-06-13 15:19  点击:129

   题  目:Assessing agreement with multiple raters on correlated kappa statistics

   报告人:美国密苏里大学Hongyuan Cao教授

   时  间:6月16日 上午9:30---11:30

   报告地点:数学楼629

   In clinical studies, it is often of interest to see the diagnostic agreement among clinicians on certain symp- toms. Previous work has focused on the agreement between two clinicians under two different conditions or the agreement among multiple clinicians under one condition. Few have discussed the agreement study with a design where multiple clinicians examine the same group of patients under two different conditions. In this article, we use the intraclass kappa statistic for assessing nominal scale agreement with such a de- sign. We derive an explicit variance formula for the difference of correlated kappa statistics and conduct hypothesis testing for the equality of kappa statistics. Simulation studies show that the method performs well with realistic sample sizes and may be superior to a method that did not take into account the measure- ment dependence structure. The practical utility of the method is illustrated on data from an eosinophilic esophagitis (EoE) study.