On ranking in survival analysis: Bounds on the concordance index

Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference

Volumn , Issue , 2008, Pages

  Raykar, Vikas C ^a   Steck, Harald ^a   Krishnapuram, Balaji ^a   Dehing Oberije, Cary ^b   Lambin, Philippe ^b  

^a SIEMENS CORPORATE RESEARCH   (United States)

^b MAASTRICHT UNIVERSITY MEDICAL CENTER   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS;

APPROACHES TO LEARNING; CENSORED DATA; CONCORDANCE INDEX; MODEL ASSESSMENT; PARTIAL LIKELIHOODS; PERFORMANCE MEASURE; PROPORTIONAL HAZARD MODELS; RANKING PROBLEMS; STANDARD PERFORMANCE; SURVIVAL ANALYSIS;

QUALITY CONTROL;

EID: 85162057713     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (13)

1. C.J.C. Burges, T. Shaked, E. Renshaw, A. Lazier, M. Deeds, N. Hamilton, and G. Hullender. Learning to rank using gradient descent. In Proceeding of the 22th International Conference on Machine Learning, 2005.
2. D. R. Cox. Regression models and life-tables (with discussion). Journal of the Royal Statistical Society, Series B, 34(2):187-220, 1972.
3. D. R. Cox. Partial likelihood. Biometrika, 62(2):269-276, 1975.
4. D. R. Cox and D. Oakes. Analysis of survival data. Chapman and Hall, 1984.
5. Y. Freund, R. Iyer, and R. Schapire. An efficient boosting algorithm for combining preferences. Journal of Machine Learning Research, 4:933-969, 2003.
6. F. E. Harrell Jr. Regression Modeling Strategies, With Applications to Linear Models, Logistic Regression, and Survival Analysis. Springer, 2001.
7. R. Herbrich, T. Graepel, P. Bollmann-Sdorra, and K. Obermayer. Learning preference relations for information retrieval. ICML-98 Workshop: Text Categorization and Machine Learning, pages 80-84, 1998.
8. J. D. Kalbfleisch and R. L. Prentice. The statistical analysis of failure time data. Wiley-Interscience, 2002.
9. W.A. Knaus, F. E. Harrell, J. Lynn, et al. The support prognostic model: Objective estimates of survival for seriously ill hospitalized adults. Annals of Internal Medicine, 122:191-203, 1995.
10. H. B. Mann and D. R. Whitney. On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other. The Annals of Mathematical Statistics, 18(1):50-60, 1947.
11. J. Nocedal and S. J. Wright. Numerical Optimization. Springer, 1999.
12. V. C. Raykar, R. Duraiswami, and B. Krishnapuram. A fast algorithm for learning large scale preference relations. In M. Meila and X. Shen, editors, Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, pages 385-392, 2007.
13. F. Wilcoxon. Individual comparisons by ranking methods. Biometrics Bulletin, 1(6):80-83, December 1945.