Page 76 - Contributed Paper Session (CPS) - Volume 6
P. 76
CPS1810 Jin-Jian Hsieh et al.
7. Klein, J. P. and Moeschberger, M. L. (2003). Survival Analysis:
Techniques for Censored and Truncated Data. New York: Springer.
8. Jung, S. H. and Jeong, J. H. and Bandos, H. (2009). Regression on
Quantile Residual Life. Biometrics, 65, 1203-1212.
9. Kaplan, E. and Meier, P. (1958). Nonparametric Estimation from
Incomplete Observations. Journal of the American Statistical
Association, 53, 457-481.
10. Koenker, R. and Bassett, G. (1978). Regression Quantiles. Econometrica,
46, 33-50.
11. Lakhal, L., Rivest, L. P. and Abdous, B. (2008). Estimating Survival and
Association in a Semicompeting Risks Model. Biometrics, 64, 180-188.
12. Ma, Y. and Yin, G. (2010). Semiparametric median residual life model
and inference. The Canadian Journal of Statistics, 34, 665-679.
13. Peng, L. and Fine, J. P. (2009). Competing Risks Quantile Regression.
Journal of the American Statistical Association, 104, 1440-1453.
14. Peng, L. and Huang, Y. (2008). Survival Analysis Based on Quantile
Regression Models. Journal of the American Statistical Association, 103,
637-649.
15. Portnoy, S. (2003). Censored Regression Quantiles. Journal of the
American Statistical Association, 98, 1001-1012.
16. Powell, J. (1984). Least Absolute Deviations Estimation for the Censored
Regression Model. Journal of Econometrics, 25, 303-325.
17. Powell, J. (1986). Censored Regression Quantiles. Journal of
Econometrics, 32, 143-155.
18. Ying, Z., Jung, S., and Wei, L. (1995). Survival Analysis with Median
Regression Models. Journal of the American Statistical Association, 90,
178-184.
65 | I S I W S C 2 0 1 9