A0223
Title: Receiver operating characteristic curve for complex survey data
Authors: Tamy Tsujimoto - Google - YouTube (United States) [presenting]
Jianwen Cai - University of North Carolina at Chapel Hill (United States)
Abstract: The receiver operating characteristic (ROC) curve is frequently used to evaluate the accuracy of medical diagnostic tests. Currently, analysis based on the ROC curve has been performed in large public-use data arising from complex survey samples by ignoring the sampling scheme. A nonparametric estimator is proposed for the ROC curve that accounts for complex survey sampling. The asymptotic properties of the estimator are developed using empirical process arguments. Simulation studies showed that the proposed estimator performed well in the practical situations considered, with better performance for larger sample size and disease proportions. The estimator was illustrated in the National Health and Nutrition Examination Survey (NHANES) to evaluate the discrimination of a traditional risk calculator for undiagnosed diabetes
