Abstract
The use of regression models for making covariance adjustments in the comparsion of survival curves is illustrated by application to a clinical trial of maintenance therapy for childhood leukemia. Three models are considered: the log linear exponential (Glasser [1967]); Cox's [1972] nonparametric generalization of this; and the linear exponential (Feigl and Zelen [1965]). Age and white blood count at diagnosis are both shown to be important for prognosis; adjustment for the latter variable has marked effects on the treatment comparisons. Both advantages and disadvantages with the regression approach are noted.
Keywords
CovarianceGeneralizationStatisticsProportional hazards modelLinear regressionRegressionMathematicsAnalysis of covarianceSurvival analysisEconometricsLinear modelExponential functionRegression analysisMedicine
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Publication Info
- Year
- 1974
- Type
- article
- Volume
- 30
- Issue
- 1
- Pages
- 89-89
- Citations
- 1750
- Access
- Closed
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Cite This
N. E. Breslow
(1974).
Covariance Analysis of Censored Survival Data.
Biometrics
, 30
(1)
, 89-89.
https://doi.org/10.2307/2529620
Identifiers
- DOI
- 10.2307/2529620