A global goodness-of-fit statistic for Cox regression models

Biometrics

Volumn 55, Issue 2, 1999, Pages 580-584

  Parzen, Michael ^a   Lipsitz, Stuart R ^b  

^a UNIVERSITY OF CHICAGO   (United States)

^b DANA FARBER CANCER INSTITUTE   (United States)

Author keywords

Hosmer Lemeshow statistic; Score test; Survival time

Indexed keywords

PROBABILITY DISTRIBUTIONS; REGRESSION ANALYSIS; STATISTICAL TESTS;

CHI-SQUARED DISTRIBUTION; COVARIATES; COX'S REGRESSION MODEL; GOODNESS OF FIT; GOODNESS-OF-FIT STATISTICS; HOSM-LEMESHOW STATISTIC; POWER; SCORE TEST; SURVIVAL TIME; TEST STATISTICS;

STATISTICS;

ARTICLE; BILIARY CIRRHOSIS; COVARIANCE; DATA ANALYSIS; HUMAN; LIVER TRANSPLANTATION; MATHEMATICAL COMPUTING; MORTALITY; REGRESSION ANALYSIS; STATISTICAL MODEL; SURVIVAL TIME;

BIKINIA LE-TESTUI;

EID: 0033041455     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.0006-341X.1999.00580.x     Document Type: Article

References (16)

1. Andersen, P. K., Borgan, O., Gill, R., and Keiding, N. (1992). Statistical Models Based on Counting Processes. New York: Springer-Verlag.
2. Arjas, E. (1988). A graphical method for assessing goodness of fit in Cox's proportional hazards model. Journal of the American Statistical Association 83, 204-212.
3. Breslow, N. (1974). Covariance analysis of censored survival data. Biometrics 30, 89-99.
4. Cox, D. R. (1972). Regression models and life tables (with discussion). Journal of the Royal Statististical Society, Series B 24, 187-220.
5. Fleming, T. and Harrington, D. (1991). Counting Processes and Survival Analysis. New York: Wiley.
6. Freeman, D. H. (1987). Applied Categorical Data Analysis. New York: Marcel Dekker.
7. Grambsch, P. and Therneau, T. (1994). Proportional hazards tests and diagnostics based on weighted residuals. Biometrika 81, 515-526.
8. Hastie, T. and Tibshirani, R. (1995). Generalized additive models for medical research. Statistical Methods in Medical Research 4, 187-196.
9. Hosmer, D. W. and Lemeshow, S. (1980). A goodness-of-fit test for the multiple logistic regression model. Communications in Statistics A10, 1043-1069.
10. Hosmer, D. W. and Lemeshow, S. (1989). Applied Logistic Regressions. New York: Wiley.
11. Hosmer, D. W., Hosmer, T., le Cessie, S., and Lemeshow, S. (1997). A comparison of goodness-of-fit tests for the logistic regression. Statistics in Medicine 16, 965-980.
12. Kay, R. (1977). Proportional hazard regression models and the analysis of censored survival data. Applied Statistics 26, 227-237.
13. Moore, D. S. and Spruill, M. C. (1975). Unified large-sample theory of general chi-squared statistics for tests of fit. Annals of Statistics 3, 599-616.
14. Moreau, T., O'Quigley, J., and Mesbah, M. (1985). A global goodness-of-fit statistic for the proportional hazards model. Applied Statistics 34, 212-218.
15. Moreau, T., O'Quigley, J., and Lellouch, J. (1986). On D. Schoenfeld's approach for testing the proportional hazards assumption. Biometrika 73, 513-515.
16. Schoenfeld, D. (1980). Chi-squared goodness-of-fit tests for the proportional hazards regression model. Biometrika 67, 145-153.