Introduction to Survival Analysis Procedures


References

  • Andersen, P. K., Borgan, O., Gill, R. D., and Keiding, N. (1992). Statistical Models Based on Counting Processes. New York: Springer-Verlag.

  • Collett, D. (1994). Modeling Survival Data in Medical Research. London: Chapman & Hall.

  • Cox, D. R. (1972). “Regression Models and Life Tables.” Journal of the Royal Statistical Society, Series B 20:187–220. With discussion.

  • Cox, D. R. (1975). “Partial Likelihood.” Biometrika 62:269–276.

  • Cox, D. R., and Oakes, D. (1984). Analysis of Survival Data. London: Chapman & Hall.

  • Elandt-Johnson, R. C., and Johnson, N. L. (1980). Survival Models and Data Analysis. New York: John Wiley & Sons.

  • Fine, J. P., and Gray, R. J. (1999). “A Proportional Hazards Model for the Subdistribution of a Competing Risk.” Journal of the American Statistical Association 94:496–509.

  • Fleming, T. R., and Harrington, D. P. (1991). Counting Processes and Survival Analysis. New York: John Wiley & Sons.

  • Gelman, A., Carlin, J. B., Stern, H. S., and Rubin, D. B. (2004). Bayesian Data Analysis. 2nd ed. London: Chapman & Hall.

  • Gilks, W. R., Richardson, S., and Spiegelhalter, D. J. (1996). Markov Chain Monte Carlo in Practice. London: Chapman & Hall.

  • Huang, Y. (2010). “Quantile Calculus and Censored Regression.” Annals of Statistics 38:1607–1637.

  • Ibrahim, J. G., Chen, M.-H., and Sinha, D. (2001). Bayesian Survival Analysis. New York: Springer-Verlag.

  • Kalbfleisch, J. D., and Prentice, R. L. (1980). The Statistical Analysis of Failure Time Data. New York: John Wiley & Sons.

  • Kaplan, E. L., and Meier, P. (1958). “Nonparametric Estimation from Incomplete Observations.” Journal of the American Statistical Association 53:457–481.

  • Koenker, R., and Geling, O. (2001). “Reappraising Medfly Longevity: A Quantile Regression Survival Analysis.” Journal of the American Statistical Association 96:458–468.

  • Lawless, J. F. (1982). Statistical Methods and Methods for Lifetime Data. New York: John Wiley & Sons.

  • Lee, E. T. (1992). Statistical Methods for Survival Data Analysis. 2nd ed. New York: John Wiley & Sons.

  • Maddala, G. S. (1983). Limited-Dependent and Qualitative Variables in Econometrics. New York: Cambridge University Press.

  • Meeker, W. Q., and Escobar, L. A. (1998). Statistical Methods for Reliability Data. New York: John Wiley & Sons.

  • Nelson, W. (1990). Accelerated Testing: Statistical Models, Test Plans, and Data Analyses. New York: John Wiley & Sons.

  • Royston, P., and Parmar, M. K. B. (2002). “Flexible Parametric Proportional-Hazards and Proportional-Odds Models for Censored Survival Data, with Application to Prognostic Modelling and Estimation of Treatment Effects.” Statistics in Medicine 21:2175–2197.

  • Therneau, T. M., and Grambsch, P. M. (2000). Modeling Survival Data: Extending the Cox Model. New York: Springer-Verlag.