Cox Regression for Current Status Data with Mismeasured Covariates
學年 99
學期 2
出版（發表）日期 2011-03-01
作品名稱 Cox Regression for Current Status Data with Mismeasured Covariates
作品名稱（其他語言）
著者 C.C.Wen; Y.H. Huang; Y. H. Chen
單位 數學學系暨研究所
出版者
著錄名稱、卷期、頁數 The Canadian Journal of Statistics 39(1), pp.73-88
摘要 Covariate measurement error problems have been extensively studied in the context of right-censored data but less so for current status data. Motivated by the zebrafish basal cell carcinoma (BCC) study, where the occurrence time of BCC was only known to lie before or after a sacrifice time and where the covariate (Sonic hedgehog expression) was measured with error, the authors describe a semiparametric maximum likelihood method for analyzing current status data with mismeasured covariates under the proportional hazards model. They show that the estimator of the regression coefficient is asymptotically normal and efficient and that the profile likelihood ratio test is asymptotically Chi-squared. They also provide an easily implemented algorithm for computing the estimators. They evaluate their method through simulation studies, and illustrate it with a real data example. The Canadian Journal of Statistics 39: 73–88;
關鍵字
語言 en_US
ISSN 0319-5724 1708-945X
期刊性質 國外
收錄於
產學合作
通訊作者 C.C.Wen
審稿制度 否
國別 USA
公開徵稿
出版型式 ,電子版,紙本
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