报告题目：嵌套分组检测设计

报告人： 李启寨研究员（中国科学院）

报告时间：2022年12月21日（星期三）14:00-15:00

报告地点：腾讯会议（ID：167 249 559）

校内联系人：牛一 副教授   联系电话：84708351-8081

报告摘要:We investigated the false-negative, true-negative, false-positive, and true-positive predictive values from a general group testing procedure for a heterogeneous population. We show that its false (true)-negative predictive value of a specimen is larger (smaller), and the false (true)-positive predictive value is smaller (larger) than that from individual testing procedure, where the former is in aversion. Then we propose a nested group testing procedure, and show that it can keep the sterling characteristics and also improve the false-negative predictive values for a specimen, not larger than that from individual testing. These characteristics are studied from both theoretical and numerical points of view. The nested group testing procedure is better than individual testing on both false-positive and false-negative predictive values, while retains the efficiency as a basic characteristic of a group testing procedure. Applications to Dorfman’s, Halving and Sterrett procedures are discussed. Results from extensive simulation studies and an application to malaria infection in microscopy-negative Malawian women exemplify the findings.

报告人简介：李启寨，中国科学院数学与系统科学研究院研究员，系统科学研究所副所长，2020年当选美国统计学会会士(ASA Fellow)，2019年获农业部&中国农学会神农中华农业科技奖一等奖，2016年当选国际统计学会推选会员(ISI Elected Member)。2001年本科毕业于中国科技大学，2006年博士毕业于中国科学院数学与系统科学研究院。研究方向包括生物医学统计，应用统计等，发表及接收发表SCI论文100余篇。现任中国数学会常务理事、中国现场统计研究会常务理事等，曾主持国家自然科学基金委优青，面上等项目。