教師資料查詢 | 類別: 期刊論文 | 教師: 陳蔓樺 Man-hua Chen (瀏覽個人網頁)

標題:A frailty model approach for regression analysis of multivariate current status data
學年97
學期1
出版(發表)日期2009/01/01
作品名稱A frailty model approach for regression analysis of multivariate current status data
作品名稱(其他語言)
著者Chen, Man-hua; Tong, Xingwei; Sun, Jianguo
單位淡江大學統計學系
出版者Chichester: John Wiley & Sons Ltd.
著錄名稱、卷期、頁數Statistics in Medicine 28(27), pp.3424-3436
摘要This paper discusses regression analysis of multivariate current status failure time data (The Statistical Analysis of Interval-censoring Failure Time Data. Springer: New York, 2006), which occur quite often in, for example, tumorigenicity experiments and epidemiologic investigations of the natural history of a disease. For the problem, several marginal approaches have been proposed that model each failure time of interest individually (Biometrics 2000; 56:940-943; Statist. Med. 2002; 21:3715-3726). In this paper, we present a full likelihood approach based on the proportional hazards frailty model. For estimation, an Expectation Maximization (EM) algorithm is developed and simulation studies suggest that the presented approach performs well for practical situations. The approach is applied to a set of bivariate current status data arising from a tumorigenicity experiment.
關鍵字EM algorithm; frailty model; interval censoring; maximum likelihood estimate; multivariate failure time data
語言英文
ISSN0277-6715; 1097-0258
期刊性質國外
收錄於SCI
產學合作
通訊作者Chen, Man-hua
審稿制度
國別英國
公開徵稿
出版型式紙本
相關連結
Google+ 推薦功能,讓全世界都能看到您的推薦!