题目：A Class of Transformed Hazards Models for Recurrent Gap Time

报告人：孙六全（中国科学院数学与系统科学研究院研究员）

时间：12月2日（星期2）上午10:00-11:00

地点：知新楼B-1248

摘要：In this article, a class of transformed hazards models is proposed for recurrent gap time data,including both the proportional and additive hazards models as special cases.An estimating equation-based inference procedure is developed for the model parameters, and the asymptotic properties of the resulting estimators are established. In addition, a lack-of-fit test is presented to assess the adequacy of the model. The finite sample behavior of the proposed estimators is evaluated through simulation studies, and an application to a clinic study on chronic granulomatous disease (CGD) is illustrated.