时间：2018年11月13日(周二)上午10:00-11:30
地点：中北校区理科大楼A1716报告厅
题目：Risk-adjusted Monitoring of Surgical Performance
主讲人：李建波 江苏师范大学数学与统计学院副教授
摘要：
We propose a nonparametric risk-adjusted cumulative sum chart to monitor surgical outcomes for patients with different risks of post-operative mortality due to risk factors that exist before the surgery. Using varying-coefficient logistic regression models, we accomplish the risk adjustment. Unknown coefficient functions are estimated by global polynomial spline approximation based on the maximum likelihood principle. We suggest a bisection minimization approach and a bootstrap method to determine the chart testing limit value. Compared with the previous (parametric) risk-adjusted cumulative sum chart, a major advantage of our method is that the morality rate can be modeled more flexibly by related covariates, which significantly enhances the monitoring efficiency. Simulations demonstrate nice performance of our proposed procedure. An application to a UK cardiac surgery dataset illustrates the use of our methodology.
主讲人介绍：
李建波，江苏师范大学数学与统计学院副教授，硕士生导师，中国现场统计研究会高维统计分析分会、资源与环境统计分会、全国工业统计学教学研究会理事。2011年博士毕业于香港中文大学统计系，2008年硕士毕业于华东师范大学金融与统计学院，先后入选江苏省“青蓝工程”中青年学术带头人培养人选，江苏省“六大高峰”人才，主持国家自然科学基金项目2项，教育部人文社科项目1项，发表SCI学术论文20余篇。