So sánh phương pháp

	Đánh giá sai số sàng lọc điều chỉnh theo rủi ro	ROC analysis
Lĩnh vực	Dịch tễ học	Thống kê
Họ	Process / pipeline	Hypothesis test
Năm ra đời	Late 1990s–2000s (formal statistical framework ~1997–2009)	1954 (signal detection); 1982 (AUC formalization)
Người khởi xướng	Margaret Sullivan Pepe and colleagues (covariate-adjusted ROC methodology)	Peterson, Birdsall & Fox (signal detection theory); Hanley & McNeil (medical statistics)
Loại	Analytical study design	Diagnostic accuracy evaluation
Công trình gốc	Pepe, M. S. (2003). The Statistical Evaluation of Medical Tests for Classification and Prediction. Oxford University Press. ISBN: 978-0198565826	Hanley, J. A., & McNeil, B. J. (1982). The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology, 143(1), 29–36.
Tên gọi khác	risk-stratified screening accuracy study, covariate-adjusted diagnostic accuracy evaluation, risk-adjusted screening performance assessment, RASTE	ROC curve analysis, AUC analysis, sensitivity-specificity analysis, diagnostic accuracy analysis
Liên quan	6	4
Tóm tắt	Risk-adjusted screening test evaluation assesses the sensitivity, specificity, and overall discriminatory accuracy of a screening test after accounting for patient-level risk factors (covariates) that independently influence test results or disease prevalence. By conditioning performance metrics on observed covariates — age, sex, comorbidities, or prior screening history — this approach yields accuracy estimates that are not confounded by differences in population risk profiles, enabling fair comparisons across subgroups or study settings.	ROC analysis evaluates how well a continuous or ordinal test variable discriminates between two binary outcome classes. By plotting the true positive rate (sensitivity) against the false positive rate (1 − specificity) across all decision thresholds, it produces a curve whose area under the curve (AUC) quantifies overall discriminative power, ranging from 0.5 (chance) to 1.0 (perfect discrimination).