Evaluating and comparing biomarkers with respect to the area under the receiver operating characteristics curve in two-phase case-control studies.

ABSTRACT: Two-phase sampling design, where biomarkers are subsampled from a phase-one cohort sample representative of the target population, has become the gold standard in biomarker evaluation. Many two-phase case-control studies involve biased sampling of cases and/or controls in the second phase. For example, controls are often frequency-matched to cases with respect to other covariates. Ignoring biased sampling of cases and/or controls can lead to biased inference regarding biomarkers' classification accuracy. Considering the problems of estimating and comparing the area under the receiver operating characteristics curve (AUC) for a binary disease outcome, the impact of biased sampling of cases and/or controls on inference and the strategy to efficiently account for the sampling scheme have not

SUBMITTER: Huang Y 

PROVIDER: S-EPMC4915610 | biostudies-literature | 2016 Jul

REPOSITORIES: biostudies-literature