1986•Communication in Statistics- Theory and MethodsRequires access

Effect of censoring on adjusting for covariates in comparison of survival times

Timothy M. Morgan, Robert.M Elasoff

Abstract

The increase in the variance of the estimate of treatment effect which results from omitting a dichotomous or continuous covariate is quantified as a function of censoring. The efficiency of not adjusting for a covariate is measured by the ratio of the variance obtained with and without adjustment for the covariate. The variance is derived using the Weibull proportional hazards model. Under random censoring, the efficiency of not adjusting for a continuous covariate is an increasing function of the percentage of censored observations.

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Key concepts: Covariate, Censoring (clinical trials), Statistics, Weibull distribution, Proportional hazards model, Survival analysis, Mathematics, Econometrics