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This talk discusses regression analysis of current status failure time data with information observation and continuous auxiliary covariates. Under the additive hazards model, we employ a frailty model to describe the relationship between the failure time of interest and censoring time through some latent variables and propose an estimated pseudo-partial likelihood estimator of regression parameters that makes use of the available auxiliary information.