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Analyzing Left-truncated and Right-censored Data under Cox Models with Long-term Survivors

Analyzing Left-truncated and Right-censored Data under Cox Models with Long-term Survivors
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摘要 We analyze left-truncated and right-censored data using Cox proportional hazard models with long-term survivors. The estimators of covariate coefficients and the long-term survivor proportion are obtained by the partial likelihood method, and their asymptotic properties are also established. Simulation studies demonstrate the performance of the proposed estimators, and an application to a real dataset is provided. We analyze left-truncated and right-censored data using Cox proportional hazard models with long-term survivors. The estimators of covariate coefficients and the long-term survivor proportion are obtained by the partial likelihood method, and their asymptotic properties are also established. Simulation studies demonstrate the performance of the proposed estimators, and an application to a real dataset is provided.
出处 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2013年第2期241-252,共12页 应用数学学报(英文版)
基金 Natural Science Funds for Distinguished Young Scholar (No. 70825004) Creative Research Groups of China (No. 10721101) Shanghai University of Finance and Economics Project 211 Phase Ⅲ Shanghai Leading Academic Discipline Project (No. B803) Zhou's work was supported by Graduate Creation Funds of Shanghai University of Finance and Economics(No. CXJJ-2011-436)
关键词 semiparametric proportional hazards models left-truncated and right-censored data long-termsurvivors semiparametric proportional hazards models left-truncated and right-censored data long-termsurvivors
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参考文献18

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