Maximum likelihood estimation for tied survival data under Cox regression model via EM-algorithm

Lifetime Data Analysis

Volumn 13, Issue 3, 2007, Pages 399-420

  Scheike, Thomas H ^a   Sun, Yanqing ^b  

^a UNIVERSITY OF COPENHAGEN   (Denmark)

^b UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE   (United States)

Author keywords

Asymptotics; Cox regression model; EM algorithm; Tied survival data

Indexed keywords

ALGORITHM; ARTICLE; COMPARATIVE STUDY; COMPUTER SIMULATION; HUMAN; PROPORTIONAL HAZARDS MODEL; STATISTICAL MODEL; SURVIVAL;

ALGORITHMS; COMPUTER SIMULATION; HUMANS; LIKELIHOOD FUNCTIONS; PROPORTIONAL HAZARDS MODELS; SURVIVAL ANALYSIS;

EID: 34548577575     PISSN: 13807870     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10985-007-9043-3     Document Type: Article

References (9)

1. Andersen PK, Borgan Ø, Gill RD and Keiding N (1993). Statistical Models Based on Counting Processes. Springer-Verlag, New York
2. Breslow NE (1972). Discussion on the paper by D.R. Cox. J Roy Statist Soc Ser B 34: 216-217
3. Cox DR (1972). Regression models and life tables (with discussion). J Roy Statist Soc B 34: 187-220
4. Efron B (1977). The efficiency of Cox's likelihood function for censored data. J Amer Statist Assoc 72: 557-565
5. Hertz-Picciotto I and Rockhill B (1997). Validity and efficiency of approximation methods for tied survival times in Cox regression. Biometrics 53: 1151-1156
6. Kalbfleisch JD and Prentice RL (2002). The statistical analysis of failure time data. Wiley, New York
7. Peto R (1972). Contribution to the discussion of the paper by D. R. Cox. J Roy Statist Soc Ser B 34: 205-207
8. Satten GA (1996). Rank-based inference in the proportional hazards model for interval censored data. Biometrika 83: 355-370
9. Therneau TM and Grambsch PM (2000). Modeling survival data: extending the Cox model. Springer-Verlag, New York