According to the problem in how to deal with the peculiar data types in the survival data,censoring data,and how to reduce the dimension of high-dimensional covariates and identify the truly predictive factors to build an accurate survival model when building a survival model in survival analysis,this paper proposes to estimate the AFT model by combining STUTE’s weighted least square method,censoring constraints and LASSO regularization method. Firstly,the combination of STUTE’s weighted least square method and censoring restraints is proposed to process the censoring data in survival data. Secondly,a new implementation algorithm of LASSO is put forward to select the variables of the model,reduce the dimension of the covariates in the model and simplify the model. Finally,through the simulation analysis,compared with the existing LASSO algorithm and the VSURF algorithm,the new estimation method can find the “real” factor and set up survival model more accurately.