Nonparametric Evaluation of Biomarker Accuracy Under Nested Case-Control Studies

DOI10.1198/jasa.2011.tm09807zbMath1232.62144OpenAlexW2023134619WikidataQ36116193 ScholiaQ36116193MaRDI QIDQ3095176

Tianxi Cai, Yingye Zheng

Publication date: 28 October 2011

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3404857

zbMATH Keywords

ROC curveinverse probability weightingclassification accuracypredictive valuetime-dependent accuracyconditional Kaplan Meier

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05) Estimation in survival analysis and censored data (62N02)

Related Items (6)

New weighting methods when cases are only a subset of events in a nested case‐control study ⋮ Time-dependent diagnostic accuracy analysis with censored outcome and censored predictor ⋮ Resampling Procedures for Making Inference Under Nested Case–Control Studies ⋮ Nonparametric Maximum Likelihood Estimators of Time-Dependent Accuracy Measures for Survival Outcome Under Two-Stage Sampling Designs ⋮ Assessing incremental value of biomarkers with multi-phase nested case-control studies ⋮ Efficient Estimation of Semiparametric Transformation Models for Two-Phase Cohort Studies

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