國立臺北大學統計學系

專題演講

 

講題：Generalized Method of Moments for Semiparametric Transformation Models of Recurrent Events with Informative Censoring

主講人：蔡長宇 教授 (國立高雄大學 統計學研究所)

時間：115 年 04 月 01 日 (星期三，13：10~15：00)

地點：三峽校區商學院3F13教室

Abstract

In this talk, we consider semiparametric transformation models for recurrent events with a shared frailty variable, allowing for dependence between the event process and censoring. Unlike standard shared frailty proportional rate models, our framework relaxes the proportionality assumption and allows the rate functions to vary flexibly across covariates over time. Motivated by the decomposition of the rate function into shape and size components (Wang and Huang, 2014), we develop an inverse-rate weighting approach and a generalized method of moments framework that combines information from different components of the rate function to improve efficiency. We establish large-sample properties, evaluate finite-sample performance through simulations, and demonstrate practical utility using a real dataset.  

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國立臺北大學統計學系  敬邀

115.03.29

附件：演講摘要