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    題名: Cox regression for current status data with mismeasured covariates
    作者: Wen, Chi-Chung;Huang, Steve Y.H.;Chen, Yao-Hung
    貢獻者: 淡江大學數學學系
    關鍵詞: Currenet status data;interval censoring;proportional hazards model;measurement error
    日期: 2011-03
    上傳時間: 2011-10-01 21:04:49 (UTC+8)
    出版者: Hoboken: Wiley-Blackwell Publishing, Inc.
    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.
    關聯: The Canadian Journal of Statistics 39(1), pp.73-88
    DOI: 10.1002/cjs.10092
    顯示於類別:[數學學系暨研究所] 期刊論文


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