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회고적 진단 정확도 연구×스크리닝 검사 평가×
분야역학역학
계열Process / pipelineProcess / pipeline
기원 연도Formalized 2000s; STARD 2003, revised 20151968 (Wilson-Jungner principles); statistical framework developed 1970s–2000s
창시자Formalized through the STARD initiative led by Patrick Bossuyt and colleaguesWilson & Jungner (WHO criteria, 1968); foundational work by Pepe, Altman, and others in statistical test evaluation
유형Observational, retrospective study designObservational diagnostic / epidemiological evaluation design
원전Bossuyt, P. M., Reitsma, J. B., Bruns, D. E., et al. (2015). STARD 2015: An Updated List of Essential Items for Reporting Diagnostic Accuracy Studies. BMJ, 351, h5527. DOI ↗Wilson, J. M. G., & Jungner, G. (1968). Principles and Practice of Screening for Disease. World Health Organization. Public Health Papers No. 34. link ↗
별칭retrospective DAS, retrospective test accuracy study, retrospective index test evaluation, historical diagnostic accuracy studyscreening study, screening performance evaluation, screening accuracy assessment, STE
관련56
요약A retrospective diagnostic accuracy study evaluates how well a diagnostic test (the index test) correctly identifies a target condition by applying it to previously collected data or archived specimens alongside a reference standard. Because both index test results and reference standard results are drawn from existing records or stored material rather than generated prospectively, this design is faster and less costly than a prospective counterpart — but carries specific methodological risks that must be controlled to produce valid estimates of sensitivity, specificity, and related measures.Screening test evaluation is a systematic epidemiological approach for assessing whether a test or program can accurately and cost-effectively identify individuals with a condition before symptoms appear. It quantifies diagnostic performance metrics — sensitivity, specificity, predictive values, and the ROC curve — and evaluates whether a screening program meets established public health criteria for adoption and harm-benefit balance.
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