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 en
ISSN 0277-6715; 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 GBR
公開徵稿
出版型式 紙本
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