Marginal, conditional, and pseudo likelihood ratio approaches for biomarker combination to predict a binary disease outcome
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Publication:6628395
DOI10.1002/SIM.9371zbMATH Open1547.62333MaRDI QIDQ6628395
Danping Liu, Yongli Han, Aiyi Liu
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
likelihood ratioBox-Cox transformationdiagnostic accuracyarea under ROC curvebiomarker combinationchildhood autism
Cites Work
- Computationally efficient confidence intervals for cross-validated area under the ROC curve estimates
- An experimental comparison of cross-validation techniques for estimating the area under the ROC curve
- Optimal Combinations of Diagnostic Tests Based on AUC
- Combining Several Screening Tests: Optimality of the Risk Score
- Selection and combination of biomarkers using ROC method for disease classification and prediction
- Estimating the Error Rate of a Prediction Rule: Improvement on Cross-Validation
- Linear Combinations of Multiple Diagnostic Markers
- Overestimation of the receiver operating characteristic curve for logistic regression
- Combining diagnostic test results to increase accuracy
- Combining Multiple Markers for Classification Using ROC
- Combining Predictors for Classification Using the Area under the Receiver Operating Characteristic Curve
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