Estimating the receiver operating characteristic curve in matched case control studies.

ABSTRACT: The matched case-control design is frequently used in the study of complex disorders and can result in significant gains in efficiency, especially in the context of measuring biomarkers; however, risk prediction in this setting is not straightforward. We propose an inverse-probability weighting approach to estimate the predictive ability associated with a set of covariates. In particular, we propose an algorithm for estimating the summary index, area under the curve corresponding to the Receiver Operating Characteristic curve associated with a set of pre-defined covariates for predicting a binary outcome. By combining data from the parent cohort with that generated in a matched case control study, we describe methods for estimation of the population parameters of interest and the correspon

SUBMITTER: Xu H 

PROVIDER: S-EPMC6768691 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature