Cox regression for mixed case interval-censored data with covariate errors
學年 100
學期 2
出版（發表）日期 2012-07-01
作品名稱 Cox regression for mixed case interval-censored data with covariate errors
作品名稱（其他語言）
著者 Wen, C.C.
單位 淡江大學數學學系暨研究所
出版者 New York: Springer New York LLC
著錄名稱、卷期、頁數 Lifetime Data Analysis 18(3), pp.321-38
摘要 Covariate measurement error problems have been extensively studied in the context of right-censored data but less so for interval-censored data. Motivated by the AIDS Clinical Trial Group 175 study, where the occurrence time of AIDS was examined only at intermittent clinic visits and the baseline covariate CD4 count was measured with error, we describe a semiparametric maximum likelihood method for analyzing mixed case interval-censored data with mismeasured covariates under the proportional hazards model. We show that the estimator of the regression coefficient is asymptotically normal and efficient and provide a very stable and efficient algorithm for computing the estimators. We evaluate the method through simulation studies and illustrate it with AIDS data.
關鍵字
語言 en_US
ISSN 1380-7870 1572-9249
期刊性質 國外
收錄於 SCI
產學合作 國外
通訊作者
審稿制度 是
國別 USA
公開徵稿
出版型式 電子版
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