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Activity Number:
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469
- 2022 GSS/SRMS/SSS Student Paper Competition Award Winners
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Type:
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Topic Contributed
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Date/Time:
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Wednesday, August 10, 2022 : 2:00 PM to 3:50 PM
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Sponsor:
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Survey Research Methods Section
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Abstract #322042
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Title:
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Receiver Operating Characteristic Curve for Complex Survey Data
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Author(s):
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Tamy Harumy Moraes Tsujimoto* and Jianwen Cai
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Companies:
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University of North Carolina at Chapel Hill and University of North Carolina at Chapel Hill
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Keywords:
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Complex survey data;
ROC curve;
Horvitz-Thompson estimator;
empirical processes
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Abstract:
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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. In this paper, a nonparametric estimator for the ROC curve that accounts for complex survey sampling is proposed. The asymptotic properties of the estimator are developed using empirical process arguments. In simulation studies, our estimator presented the expected results as the sample size increased. The estimator was utilized in the National Health and Nutrition Examination Survey (NHANES) to evaluate the discrimination of a traditional 10-year risk calculator of cardiovascular disease.
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Authors who are presenting talks have a * after their name.
