手法を比較

	遡及的診断精査研究	症例対照研究
分野	疫学	疫学
系統	Process / pipeline	Process / pipeline
提唱年	Formalized 2000s; STARD 2003, revised 2015	1950s (formal methodology); precursors in the 1920s
提唱者	Formalized through the STARD initiative led by Patrick Bossuyt and colleagues	Janet Lane-Claypon (early precursors, 1926); formalized by Brian MacMahon and Jerome Cornfield in the 1950s–1960s
種類	Observational, retrospective study design	Observational analytic study design
原典	Bossuyt, 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.	Schlesselman, J.J. (1982). Case-Control Studies: Design, Conduct, Analysis. Oxford University Press. ISBN: 978-0195027860
別名	retrospective DAS, retrospective test accuracy study, retrospective index test evaluation, historical diagnostic accuracy study	case-referent study, case-control design, retrospective case-control, case-control analysis
関連	5	6
概要	A 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.	A case-control study is a retrospective observational design in which individuals who have developed a disease or outcome of interest (cases) are compared with individuals who have not (controls) to determine whether prior exposure to a putative risk factor differs between the two groups. The primary measure of association is the odds ratio, which approximates the relative risk when the outcome is rare. Case-control studies are especially efficient for investigating rare diseases and generating etiological hypotheses.