A goodness-of-fit test for Cox's proportional hazards model based on martingale residuals

Biometrics

Volumn 54, Issue 4, 1998, Pages 1517-1526

  Verweij, Pierre J M ^a   Van Houwelingen, Hans C ^a   Stijnen, Theo ^b  

^a LEIDEN UNIVERSITY   (Netherlands)

^b ERASMUS UNIVERSITY ROTTERDAM   (Netherlands)

Author keywords

Counting processes; Cox model; Frailty model; Goodness of fit test; Martingale residuals; Proportional hazards; Survival analysis

Indexed keywords

HAZARDS; RANDOM PROCESSES;

COUNTING PROCESS; COX MODEL; COX PROPORTIONAL HAZARD MODEL; FRAILTY MODELS; GOODNESS OF FIT; GOODNESS-OF-FIT TEST; MARTINGALE RESIDUAL; PROPORTIONAL HAZARDS; RANDOM EFFECTS; SURVIVAL ANALYSIS;

STATISTICAL TESTS;

ARTICLE; CANCER SURVIVAL; HEALTH HAZARD; HYPOTHESIS; OVARY CANCER; REGRESSION ANALYSIS; RISK FACTOR; SURVIVAL;

EID: 0032430235     PISSN: 0006341X     EISSN: None     Source Type: Journal    
DOI: 10.2307/2533676     Document Type: Article

References (5)

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2. Andersen, P. K. (1991). Survival analysis 1982-1991: The second decade of the proportional hazards regression model. Statistics in Medicine 10, 1931-1941.
3. Andersen, P. K., Borgan, O., Gill, R. D., and Keiding, N. (1993). Statistical models based on counting processes. New York: Springer.
4. Breslow, N. E. (1974). Covariance analysis of censored survival data. Biometrics 30, 89-99.
5. Commenges, D. and Andersen, P. K. (1995). Score test of homogeneity for survival data (with Discussion). Lifetime Data Analysis 1, 145-159.