Process / pipelineClinical / epidemiology

Risk-Adjusted Diagnostic Accuracy Study — Accounting for Patient Case-Mix in Test Evaluation

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.

Open in MethodMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Pepe, M. S. (2003). The Statistical Evaluation of Medical Tests for Classification and Prediction. Oxford University Press. ISBN: 978-0198509844
  2. 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

Related methods

ScholarGateRisk-adjusted diagnostic accuracy study (Risk-Adjusted Diagnostic Accuracy Study). Retrieved 2026-06-04 from https://scholargate.app/en/epidemiology/risk-adjusted-diagnostic-accuracy-study