Regression analysis for multivariate current status data
學年 97
學期 2
發表日期 2009-06-26
作品名稱 Regression analysis for multivariate current status data
作品名稱（其他語言）
著者 陳蔓樺
作品所屬單位 淡江大學統計學系
出版者 高雄市：中山大學應用數學系
會議名稱 第十八屆南區統計研討會=The 18th South Taiwan Statistics Conference
會議地點 高雄市, 臺灣
摘要 A voluminous literature on right-censored failure time data has been developed in the past 30 years. Due to advances in biomedical research, interval censoring has become increasingly common in medical follow-up studies. Additional problems arise in the analysis of multivariate interval-censored failure time data. I will present regression analysis of multivariate interval-censored failure time data using the frailty model approach. Based on the most commonly used regression model, the proportional hazards model, the frailty model approach considers the random effect directly models the correlation between multivariate failure times. The analysis is focused on current status or case I interval-censored data and the maximum likelihood approach is developed for inference. The simulation studies are conducted to evaluate and compare the finite-sample behaviors of the estimators and we apply the proposed method to an animal tumorigenicity experiment.
關鍵字 interval-censoring; random effect model approach; multivariate failure time data; the frailty odds model
語言 en
收錄於
會議性質
校內研討會地點
研討會時間 20090626~20090627
通訊作者
國別 TWN
公開徵稿
出版型式
出處 第十八屆南區統計研討會=The 18th South Taiwan Statistics Conference
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