This paper considers estimation and inference about tail features such as index extreme quantile when the observations beyond some threshold are censored. Ignoring censoring could lead to substantial bias size distortion, even if censored probability is tiny. We first propose a new maximum likelihood estimator (MLE) based on Pareto approximation derive its asymptotic properties. Then, we an alt...