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Assessing quantile prediction with censored quantile regression models

Li, RS; Peng, LM

Peng, LM (reprint author), Emory Univ, Dept Biostat & Bioinformat, Atlanta, GA 30322 USA.

BIOMETRICS, 2017; 73 (2): 517

Abstract

An important goal of censored quantile regression is to provide reliable predictions of survival quantiles, which are often reported in practice to of......

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