The main purpose of this work is to study the effect that a large percentage of right censoring has on the estimation of the regression parameters under a proportional hazards model. To accomplish this we conduct a simulation study for different scenarios and compute the performance of the estimator by means of their bias, variance, mean squared error, relative bias and percentage of coverage.