Assessing incremental value of biomarkers with multi-phase nested case-control studies

DOI10.1111/biom.12344zbMath1419.62495OpenAlexW1490191373WikidataQ36761375 ScholiaQ36761375MaRDI QIDQ2809548

Tianxi Cai, Yingye Zheng, Qian M. Zhou, Elizabeth W. Karlson, Lori B. Chibnik

Publication date: 30 May 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4819437

zbMATH Keywords

incremental valuerisk predictioninverse probability weightingnested case-control studyrheumatoid arthritistime dependent ROC curve analysis

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (2)

New weighting methods when cases are only a subset of events in a nested case‐control study ⋮ Nonparametric Maximum Likelihood Estimators of Time-Dependent Accuracy Measures for Survival Outcome Under Two-Stage Sampling Designs

Cites Work

• Weighted analyses for cohort sampling designs
• Asymptotic theory for nested case-control sampling in the Cox regression model
• Evaluating prognostic accuracy of biomarkers in nested case-control studies
• Nonparametric Evaluation of Biomarker Accuracy Under Nested Case-Control Studies
• Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation
• Retrospective studies and failure time models
• A pseudolikelihood approach to analysis of nested case-control studies
• Time‐Dependent ROC Curves for Censored Survival Data and a Diagnostic Marker
• Evaluating Prediction Rules fort-Year Survivors With Censored Regression Models
• Resampling Procedures for Making Inference Under Nested Case–Control Studies

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