Adaptive Validation Design: A Bayesian Approach to Validation Substudy Design With Prospective Data Collection.

ABSTRACT: An internal validation substudy compares an imperfect measurement of a variable with a gold-standard measurement in a subset of the study population. Validation data permit calculation of a bias-adjusted estimate, which has the same expected value as the association that would have been observed had the gold-standard measurement been available for the entire study population. Existing guidance on optimal sampling for validation substudies assumes complete enrollment and follow-up of the target cohort. No guidance exists for validation substudy design while cohort data are actively being collected. In this article, we use the framework of Bayesian monitoring methods to develop an adaptive approach to validation study design. This method monitors whether sufficient validation data have been

SUBMITTER: Collin LJ 

PROVIDER: S-EPMC7269021 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature