Abstract P200: Estimating the Receiver Operating Characteristics (ROC) Curve and its Associated AUC in Matched Case Control Studies
Background: The matched case-control study design is frequently used in cardiovascular disease research and can result in significant gains in efficiency; however, 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.
Methods: We consider AUC estimation in 1:m matched case control studies and compare its bias with logistic regression in simulations. Let X denote the vector of exposures, Z the vector of matching factors and Y the binary outcome. We assume the population logistic model: logit [Pr(Y = 1
Author Disclosures: R. Balasubramanian: B. Research Grant; Significant; NIH R01 HL122241. H. Xu: None. B.W. Whitcomb: None. S.E. Hankinson: None. N. Paynter: None. K.M. Rexrode: None. J. Qian: None.
- © 2017 by American Heart Association, Inc.