Methods for Evaluating Prediction Performance of Biomarkers and Tests

DOI10.1007/978-1-4614-8981-8_7zbMath1461.62192OpenAlexW1504852314MaRDI QIDQ4984843

Unnamed Author, Margaret S. Pepe

Publication date: 20 April 2021

Published in: Risk Assessment and Evaluation of Predictions (Search for Journal in Brave)

Full work available at URL: https://biostats.bepress.com/uwbiostat/paper384

zbMATH Keywords

receiver operating characteristic curverisk modelprediction performancerisk distributionrisk threshold

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Uses Software

• rms

Cites Work

• Unnamed Item
• Clinical prediction models. A practical approach to development, validation, and updating.
• Two Criteria for Evaluating Risk Prediction Models
• On criteria for evaluating models of absolute risk
• A Parametric ROC Model‐Based Approach for Evaluating the Predictiveness of Continuous Markers in Case–Control Studies
• Regression modeling strategies. With applications to linear models, logistic regression and survival analysis
• The elements of statistical learning. Data mining, inference, and prediction

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