Evaluating prognostic accuracy of biomarkers in nested case-control studies

DOI10.1093/biostatistics/kxr021zbMath1239.62131OpenAlexW2102867283WikidataQ35747080 ScholiaQ35747080MaRDI QIDQ2893221

Tianxi Cai, Yingye Zheng

Publication date: 26 June 2012

Published in: Biostatistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1093/biostatistics/kxr021

zbMATH Keywords

inverse probability weightingtime-dependent accuracy

Mathematics Subject Classification ID

Related Items (12)

Detecting clinically meaningful biomarkers with repeated measurements: An illustration with electronic health records ⋮ Covariate measurement error correction methods in mediation analysis with failure time data ⋮ Testing goodness‐of‐fit for the proportional hazards model based on nested case–control data ⋮ Dynamic inference in general nested case‐control designs ⋮ New weighting methods when cases are only a subset of events in a nested case‐control study ⋮ Secondary analysis under cohort sampling designs using conditional likelihood ⋮ 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 ⋮ Adopting nested case-control quota sampling designs for the evaluation of risk markers ⋮ Efficient Estimation of Semiparametric Transformation Models for Two-Phase Cohort Studies ⋮ Empirical evaluation of sub-cohort sampling designs for risk prediction modeling

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