Analysis of the interval-censored survival data with mismeasured covariates

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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.