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Effect of covariate measurement error in randomized clinical trials
Author(s) -
Morgan Timothy M.,
Elashoff Robert M.
Publication year - 1987
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780060105
Subject(s) - covariate , statistics , clinical trial , accelerated failure time model , econometrics , estimation , observational error , standard error , randomized controlled trial , regression , medicine , mathematics , management , economics
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.