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- W2103186958 abstract "Quantile regression for censored survival (duration) data offers a more flexible alternative to the Cox proportional hazard model for some applications. We describe three estimation methods for such applications that have been recently incorporated into the R package <b>quantreg</b>: the Powell (1986) estimator for fixed censoring, and two methods for random censoring, one introduced by Portnoy (2003), and the other by Peng and Huang (2008). The Portnoy and Peng-Huang estimators can be viewed, respectively, as generalizations to regression of the Kaplan-Meier and Nelson-Aalen estimators of univariate quantiles for censored observations. Some asymptotic and simulation comparisons are made to highlight advantages and disadvantages of the three methods." @default.
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- W2103186958 date "2008-01-01" @default.
- W2103186958 modified "2023-10-18" @default.
- W2103186958 title "Censored Quantile Regression Redux" @default.
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- W2103186958 doi "https://doi.org/10.18637/jss.v027.i06" @default.
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