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Despite the thriving development of variable selection methods in recent years,modeling and selection of high and ultrahigh dimensional censored regression remain challenging.When the number of predictors p far exceeds the number of observational units n, cormputations of many metlods become difficult or even infeasible,and performances deteriorate noticeably,