Journal of the Korean Data and Information Science Society

The Korean Data and Information Science Society (한국데이터정보과학회)
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Regression Quantile Estimations on Censored Survival Data

  • Shim, Joo-Yong (Department of Statistics, Kyungpook National University)
  • Published : 2002.10.31
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Abstract

In the case of multiple survival times which might be censored at each covariate vector, we study the regression quantile estimations in this paper. The estimations are based on the empirical distribution functions of the censored times and the sample quantiles of the observed survival times at each covariate vector and the weighted least square method is applied for the estimation of the regression quantile. The estimators are shown to be asymptotically normally distributed under some regularity conditions.

Keywords

References

  1. Econometrica v.46 Regression Quantiles Koenker, R.;Bassett, G.
  2. Journal of Computational and Graphical Statistics v.1 Computational Methods for Semiparametric Linear Regression With Censored Data Lind, D. Y.;Geyer, C. J.
  3. Computational Statistics & Data Analysis v.23 Quantile Regression with Censored data using Generalized L1 Minimization Lindgren, A.
  4. Journal of Econometrics v.32 Censored Regression Quantiles Powell, J.
  5. Journal of the American Statistical Association v.94 Censored Median Regression Using Weighted Empirical Survival and Harzard Functions Yang, S.
  6. Journal of the American Statistical Association v.90 Survival Analysis with Censored Median Regression Models Ying, Z.;Jung, S.;Wei, L.