Estimating transformations for evaluating diagnostic tests with covariate adjustment.

ABSTRACT: Receiver operating characteristic analysis is one of the most popular approaches for evaluating and comparing the accuracy of medical diagnostic tests. Although various methodologies have been developed for estimating receiver operating characteristic curves and their associated summary indices, there is no consensus on a single framework that can provide consistent statistical inference while handling the complexities associated with medical data. Such complexities might include non-normal data, covariates that influence the diagnostic potential of a test, ordinal biomarkers or censored data due to instrument detection limits. We propose a regression model for the transformed test results which exploits the invariance of receiver operating characteristic curves to monotonic transformation

SUBMITTER: Sewak A 

PROVIDER: S-EPMC10500951 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature