Analysis of the interval-censored survival data with mismeasured covariates

有大量的努力致力于对受测量误差影响的协变量进行正确审查的生存数据的分析。然而，具有协变量测量误差的间隔生存数据较少被研究。Song and Ma（Stat Med, 2008）采用多重增广的方法将条件评分法扩展到区间截除数据，需要增加计算负担。Zhang和daviddian （biometics, 2008）提出了利用半参数（SNP）密度对区间截尾数据进行半参数回归分析的一般框架。我们将张的区间截尾数据的半参数分析推广到协变量测量误差问题。我们通过仿真测试来评估所提出方法的性能。

There has been substantial effort devoted to the analysis of right-censored survival data with covariates that are subject to measurement error. However, interval survival data with covariate measurement error are to be less investigated. Song and Ma(Stat Med, 2008) extended the conditional score method to interval-censored data by using multiple augmentation approach and requires computational burden. Zhang and Davidian(Biometrics, 2008) proposed the general framework for semiparametric regression analysis of interval-censored data by using seminonparametric(SNP) density. We extend Zhang's semiparametric analysis of interval-censored data to covariate measurement error problem. We evaluate the performance of the proposed method through the simulation examination.