报告题目：A survival tree for interval-censored failure time data
报 告 人：陈嘉 副教授
所在单位：长春工业大学
报告时间：2024年12月10日 星期二 13:30-14:15
报告地点：吉林大学中心校区数学楼第二报告厅
校内联系人：程建华 chengjh@jlu.edu.cn
报告摘要：Interval-censored failure time data as a general type of survival data often arises in medicine and other applied fields. Survival tree is a flexible predictive method for survival data because no specific assumptions are required. Generalized Log-Rank Test have good power with parameters for interval-censored failure time data. We construct a special test statistic of Generalized Log-Rank Tests, and propose a new survival tree with hyper-parameter by combining the test statistic with Conditional Inference Framework for interval-censored failure time data. The effect of tuning hyper-parameter are discussed and hyperparameter tuning allows the tree method to be more general and flexible. Thus the tree method either improve upon or remain competitive with existing tree method for interval-censored failure time data - ICtree, which is a special case of ours. An extensive simulation is executed to assess the predictive performance of our tree methods. Finally, the tree methods are applied to a tooth emergence data.
报告人简介：陈嘉，女，长春工业大学数学与统计学院，博士，副教授，中国商业统计学会市场调查与教学研究分会理事。《概率论与数理统计》国家级一流课程、省级课程思政示范课程及《线性代数》国家级一流课程的主要参加人。主持横向项目1项，参与国家自然科学基金项目3项、国家统计局项目1项、省级科研项目2项、长春市重大科技专项1项。主持省级教研项目3项，参与完成省级教研项目5项，参与编写教材1部，指导学生参加全国大学生数学建模、数学竞赛获国家一等奖1项，国家二等奖2项，省级奖项10余项。获全国高校数学微课程教学设计竞赛东北赛区一等奖，发表论文10余篇，被SCI、EI检索5篇。
