Measurement error in continuous endpoints in randomised trials: Problems and solutions.

ABSTRACT: In randomised trials, continuous endpoints are often measured with some degree of error. This study explores the impact of ignoring measurement error and proposes methods to improve statistical inference in the presence of measurement error. Three main types of measurement error in continuous endpoints are considered: classical, systematic, and differential. For each measurement error type, a corrected effect estimator is proposed. The corrected estimators and several methods for confidence interval estimation are tested in a simulation study. These methods combine information about error-prone and error-free measurements of the endpoint in individuals not included in the trial (external calibration sample). We show that, if measurement error in continuous endpoints is ignored, the treatme

SUBMITTER: Nab L 

PROVIDER: S-EPMC6900013 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature