เปรียบเทียบวิธี

	การประเมินการคัดกรองแบบปรับตัวได้	การออกแบบการศึกษาความแม่นยำในการวินิจฉัย
สาขาวิชา	ระบาดวิทยา	การวิจัยทางคลินิก
ตระกูล	Process / pipeline	Process / pipeline
ปีกำเนิด	1980s–1990s (formal adaptive screening frameworks)	2003-2015
ผู้ริเริ่ม	Lord, F. M. (IRT foundations); Wainer & colleagues (CAT adaptation to screening)	Bossuyt, Reitsma, and STARD group (2003); clinical epidemiology pioneers
ประเภท	Psychometric evaluation method	Research Design
แหล่งต้นตำรับ	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.
ชื่อเรียกอื่น	adaptive screening, computerized adaptive screening, tailored screening test evaluation, CAT-based screening evaluation	diagnostic accuracy study, test accuracy, STARD, diagnostic evaluation
ที่เกี่ยวข้อง	3	2
สรุป	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.