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Risk-adjusted diagnostic accuracy study/Evidence
Method evidence record

Risk-adjusted diagnostic accuracy study

A risk-adjusted diagnostic accuracy study evaluates how well an index test identifies a target condition while explicitly accounting for patient-level risk factors that influence either disease prevalence or test performance. By adjusting for case-mix, it yields accuracy estimates — sensitivity, specificity, and AUC — that are not confounded by the composition of the study sample, enabling fairer comparisons across populations and clinical settings.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Risk-Adjusted Diagnostic Accuracy Study
Taxonomic method record · process-pipeline / epidemiology
  • Pepe, M. S. (2003). The Statistical Evaluation of Medical Tests for Classification and Prediction. Oxford University Press. · ISBN 978-0198509844
  • Janes, H., & Pepe, M. S. (2009). Adjusting for covariate effects on classification accuracy using the covariate-adjusted ROC curve. Biometrika, 96(2), 371–382. · DOI 10.1093/biomet/asp002
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Related methods

Generated from the method graph and shown as machine-suggested relations — no evidence claim is inferred.

Taxonomic bucketCohort Studymachine-suggested · Relational suggestion, not evidence.Same method familyDiagnostic Accuracy Study Designmachine-suggested · Relational suggestion, not evidence.Same method familyLogistic Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketProspective Diagnostic Accuracy Studymachine-suggested · Relational suggestion, not evidence.See alsoROC analysismachine-suggested · Relational suggestion, not evidence.Taxonomic bucketScreening Test Evaluationmachine-suggested · Relational suggestion, not evidence.

Evidence status

Sources recorded, not reviewed

Bibliographic sources are present. Claim-level evidence review has not been performed.

Sources

2 recorded citations, copied from the method source record.

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