报 告 人： Jason Liao
报告地点： 数学与统计学院615室
报告时间： 2016年07月18日星期一16:30-17:30
报告简介：In medical and other related sciences, clinical or experimental measurements usually serve as a basis for diagnostic, prognostic, therapeutic, and performance evaluations. In this presentation, similar to the type I error and the power in describing a hypothesis testing, we propose quantifying an agreement assessment using two rates: the discordance rate and the tolerance probability. This approach is illustrated through examples with information from clinical/scientific judgment incorporated into the agreement assessment.
主讲人简介：
廖谨忠 (Jason J.Z. Liao)博士， 清华大学硕士，美国Michigan大学博士，美国Merk制药研究所研究员。
