Covariate
Analysis
of Survival Data: A Small-Sample Study of Cox's Model
ABCD PBi
Covariate
Analysis
of Survival Data: A Small-Sample Study of Cox's Model
Author:
Johnson, Mark E.
;
Tolley, H. Dennis
;
Bryson, Maurice C.
;
Goldman, Aaron S.
Subjects:
Analysis
of Variance
;
Asymptotic value
;
Biometrics
;
Censorship
;
Covariance
;
Estimation bias
;
Humans
;
Mathematical monotonicity
;
Modeling
;
Models, Biological
;
Mortality
;
Papers on the
Analysis
of Covariance
;
Research Design
;
Sampling bias
;
Statistical
discrepancies
;
Statistical
variance
Is Part Of:
Biometrics, 1982-09, Vol.38 (3), p.685-698
Notes:
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
Description:
Cox's proportional-hazards model is frequently used to adjust for covariate effects in survival-data
analysis
. The small-sample performances of the maximum partial likelihood estimators of the regression parameters in a two-covariate hazard function model are evaluated with respect to bias, variance, and power in hypothesis tests. Previous Monte Carlo work on the two-sample problem is reviewed.
Publisher:
United States: Biometric Society
Language:
English