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| 적응형 선별 검사 평가× | 진단 정확도 연구 설계× | |
|---|---|---|
| 분야≠ | 역학 | 임상연구 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1980s–1990s (formal adaptive screening frameworks) | 2003-2015 |
| 창시자≠ | Lord, F. M. (IRT foundations); Wainer & colleagues (CAT adaptation to screening) | Bossuyt, Reitsma, and STARD group (2003); clinical epidemiology pioneers |
| 유형≠ | Psychometric evaluation method | Research Design |
| 원전≠ | Wainer, H., Dorans, N. J., Flaugher, R., Green, B. F., & Mislevy, R. J. (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 | 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 | adaptive screening, computerized adaptive screening, tailored screening test evaluation, CAT-based screening evaluation | diagnostic accuracy study, test accuracy, STARD, diagnostic evaluation |
| 관련≠ | 3 | 2 |
| 요약≠ | Adaptive screening test evaluation is a psychometric and epidemiological framework for designing and assessing screening instruments whose item selection or stopping rules adjust dynamically to each respondent's response pattern. Rooted in item response theory (IRT) and computerized adaptive testing (CAT), the method uses real-time ability or severity estimates to present only the most informative items, then evaluates the resulting screening decisions against a clinical reference standard using standard diagnostic accuracy metrics. | 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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