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| 위험 조정 선별 검사 평가× | 진단 정확도 연구 설계× | |
|---|---|---|
| 분야≠ | 역학 | 임상연구 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | Late 1990s–2000s (formal statistical framework ~1997–2009) | 2003-2015 |
| 창시자≠ | Margaret Sullivan Pepe and colleagues (covariate-adjusted ROC methodology) | Bossuyt, Reitsma, and STARD group (2003); clinical epidemiology pioneers |
| 유형≠ | Analytical study design | Research Design |
| 원전≠ | Pepe, M. S. (2003). The Statistical Evaluation of Medical Tests for Classification and Prediction. Oxford University Press. ISBN: 978-0198565826 | Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L. M., ... & de Vet, H. C. (2003). Towards complete and accurate reporting of studies of diagnostic accuracy: the STARD initiative. Annals of Internal Medicine, 138(1), 40–44. DOI ↗ |
| 별칭 | risk-stratified screening accuracy study, covariate-adjusted diagnostic accuracy evaluation, risk-adjusted screening performance assessment, RASTE | diagnostic accuracy study, test accuracy, STARD, diagnostic evaluation |
| 관련≠ | 6 | 2 |
| 요약≠ | 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. | A diagnostic accuracy study evaluates how well a new diagnostic test (or biomarker, imaging modality, clinical assessment) detects the presence or absence of disease compared to a reference standard (gold standard). Standardized since 2003 by the STARD (Standards for Reporting of Diagnostic Accuracy Studies) initiative, diagnostic accuracy studies are fundamental to clinical medicine, determining whether and how new tests can improve patient diagnosis and treatment. |
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