comparison some censored regression models with application to renal failure data

This article dealt with the topic of using some functions in the censored regression model, such as the tobit model and log-burrxiiee model and estimating the parameters of the two models. based on real data for patients with renal failure, the two models were compared. results are showed  that the lbxiiee model is the best model compared to the tobit model according to the values of the model selection criteria, as the values of these criteria for the lbxiiee model were less than the values of the same criteria for the tobit model when urea as a dependent variable in the model. we also note that the values of the criteria (aic, bic, h-qic) change and decrease according to the steps used for estimation and analysis of the two models (tobit, lbxiiee) according to the specific dependent variable