We consider the heteroscedastic measurement error problem in Cox regression model. The heteroscedastic measurement error can happen naturally when the number of replicates is related to the survival time or censoring time. To accommodate the effect of heteroscedastic measurement error in estimation, we consider a small measurement error assumption approach as well as the error augmentation for the conventional corrected score and conditional score. Their performances were evaluate by a simulation study.