So sánh phương pháp

	Đánh giá xét nghiệm sàng lọc đa trung tâm	Nghiên cứu dịch tễ học cắt ngang
Lĩnh vực	Dịch tễ học	Dịch tễ học
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1976–2003 (core diagnostic accuracy framework; multicenter STARD standards formalized 2003)	1960s (formal codification); widely practiced since mid-20th century
Người khởi xướng	Methodological consensus (STARD group, Bossuyt et al.); broader diagnostic accuracy tradition rooted in Hanley & McNeil (1982) and Sackett & Haynes (1976)	Classical epidemiology tradition; systematized by Brian MacMahon and Thomas Pugh (1960s)
Loại	Observational diagnostic accuracy study	Observational, descriptive/analytic epidemiological design
Công trình gốc	Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., Gatsonis, C. A., Glasziou, P. P., Irwig, L. M., Lijmer, J. G., Moher, D., Rennie, D., & de Vet, H. C. W. (2003). Towards complete and accurate reporting of studies of diagnostic accuracy: The STARD Initiative. Annals of Internal Medicine, 138(1), 40-44.	Kelsey, J. L., Whittemore, A. S., Evans, A. S., & Thompson, W. D. (1996). Methods in Observational Epidemiology (2nd ed.). Oxford University Press. ISBN: 978-0195080407
Tên gọi khác	multicenter diagnostic accuracy study, multisite screening evaluation, multicenter test performance study, multicenter DTA study	prevalence study, cross-sectional survey, transversal study, cross-sectional design
Liên quan	6	6
Tóm tắt	A multicenter screening test evaluation measures the diagnostic accuracy of a screening test — its sensitivity, specificity, predictive values, and ROC-curve area — by enrolling participants across two or more independent clinical sites. Conducting the study at multiple centers broadens the patient spectrum, tests generalizability across different laboratory conditions and patient populations, and produces more externally valid accuracy estimates than a single-center study.	A cross-sectional epidemiological study measures the exposure(s) and outcome(s) of interest simultaneously in a defined population at a single point in time (or over a short period). Because there is no follow-up, it is the most efficient observational design for estimating disease prevalence and for generating hypotheses about associations between risk factors and health outcomes.