Comparative Studies on Frailties in Survival Analysis

References

• Aalen , O. O. ( 1988 ). Heterogeneity in survival analysis . Statistics in Medicine 7 : 1121 – 1137 .
   PubMed Web of Science ®Google Scholar
• Cox , D. R. , Oakes , D. ( 1992 ). Analysis of Survival Data . London : Chapman & Hall .
   Google Scholar
• Hougaard , P. ( 1984 ). Life table methods for heterogeneous populations. Distributions describing the heterogeneity . Biometrika 71 : 75 – 83 .
   Web of Science ®Google Scholar
• Hougaard , P. ( 1986 ). Survival models for heterogeneous populations derived from stable distributions . Biometrika 73 : 387 – 396 .
   Web of Science ®Google Scholar
• Hougaard , P. ( 1995 ). Frailty models for survival data . Lifetime Data Analysis 1 : 255 – 273 .
   PubMedGoogle Scholar
• Huber-Carol , C. , Vonta , F. ( 2004 ). Frailty models for arbitrarily censored and truncated data . Lifetime Data Analysis 10 : 369 – 388 .
   PubMed Web of Science ®Google Scholar
• Ihaka , R. , Gentleman , R. ( 1996 ). R:A language for data analysis and graphics . Journal of Computational and Graphical Statistics 5 : 299 – 314 .
   Google Scholar
• Klein , J. P. , Moeschberger , M. L. ( 1997 ). Survival Analysis: Techniques for Censored and Truncated Data . New York : Springer .
   Google Scholar
• Manton , K. G. , Stallard , E. , Vaupel , J. W. ( 1981 ). Methods for comparing the mortality experience of heterogeneous populations . Demography 18 : 389 – 410 .
   PubMed Web of Science ®Google Scholar
• Therneau , T. M. , Grambsch , P. M. , Pankratz , V. S. ( 2003 ). Penalized survival models and frailty . Journal of Computational and Graphical Statistics 12 ( 1 ): 156 – 175 .
   Web of Science ®Google Scholar