Effect of covariate measurement error in randomized clinical trials.
Prognostic factors often appear as covariates in clinical trials designed to estimate treatment effects. These factors are usually subject to measurement error and lead to decreased efficiency in the estimation of the treatment effect. We use Weibull regression models and asymptotic theory to derive the efficiency of estimation obtained by adjusting for one dichotomous and one continuous covariate measured with error. An application to a clinical trial involving advanced lung cancer patients illustrates the results.
D000970:Antineoplastic Agents / Q000627:therapeutic use; D001699:Biometry; D002986:Clinical Trials as Topic; D006801:Humans; D008175:Lung Neoplasms / Q000188:drug therapy / Q000473:pathology; D011379:Prognosis; D011897:Random Allocation
D000970:Antineoplastic Agents