1. Hosmer, DW and Lemeshow, S. Applied Survival Analysis: Regression Modeling of Time to Event Data. NewYork: John Wiley and Sons; 1999.
  2. Cox DR, Oakes D. Analysis of Survival Data, Chapman and Hall, 1984.
  3. Lee ET and Wang JW. Statistical Methods for Survival Data Analysis. 3rd edition. New York: John Wiley & Sons; 2003.
  4. SAS version 9.1© 2002-2003 by SAS Institute, Inc., Cary, NC. 
  5. Greenwood M, Jr. The Natural Duration of Cancer. Reports of Public Health and Related Subjects Vol 33, HMSO, London; 1926.
  6. Crawley MJ. Statistics: An Introduction using R. NewYork: John Wiley and Sons; 2005.
  7. Mantel, N. Evaluation of survival data and two new rank order statistics arising in its consideration. Cancer Chemotherapy Reports. 1966; 50 (3): 163- 70.
  8. Peto R and Peto J. Asymptotically Efficient Rank Invariant Test Procedures. Journal of the Royal Statistical Society. Series A (General). 1972; 135 (2): 185-207.
  9. Gehan EA. A Generalized Wilcoxon Test for Comparing Arbitrarily Singly-Censored Samples. Biometrika. 1965; 52: 203-223.
  10. Kalbfleisch JD and Prentice RL. The Statistical Analysis of Failure Time Data. 2nd ed. New York: Wiley, 2002.
  11. Kleinbaun DG and Klein M. Survival Analysis: A Self-Learning Text. New York: Springer Science + Business Median, Inc., 2005.
  12. Allison P. Survival Analysis Using the SAS System, SAS Institute, 1995.