Estimating improvement in prediction with matched case-control designs

DOI10.1007/S10985-012-9237-1zbMath1356.62206OpenAlexW2118685007WikidataQ36877641 ScholiaQ36877641MaRDI QIDQ5963060

Margaret Sullivan Pepe, Aasthaa Bansal

Publication date: 25 February 2016

Published in: Lifetime Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10985-012-9237-1

zbMATH Keywords

classificationdiagnosisreceiver operating characteristic curvemedical decision making

Mathematics Subject Classification ID

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

Related Items (1)

Editorial

Uses Software

• bootstrap

Cites Work

• Unnamed Item
• Unnamed Item
• Adjusting for covariate effects on classification accuracy using the covariate-adjusted receiver operating characteristic curve
• Logistic Regression Methods for Retrospective Case-Control Studies Using Complex Sampling Procedures
• Two Criteria for Evaluating Risk Prediction Models
• Statistics in Epidemiology: The Case-Control Study
• Estimating the capacity for improvement in risk prediction with a marker
• Semiparametric methods for evaluating risk prediction markers in case-control studies
• Logistic regression for two-stage case-control data
• Logistic disease incidence models and case-control studies
• Semiparametric Estimation of Regression Quantiles with Application to Standardizing Weight for Height and Age in US Children
• Evaluating the Predictiveness of a Continuous Marker
• Matching in Studies of Classification Accuracy: Implications for Analysis, Efficiency, and Assessment of Incremental Value

This page was built for publication: Estimating improvement in prediction with matched case-control designs