So sánh phương pháp

	Nghiên cứu sinh thái ghép cặp	Thiết kế Nghiên cứu Trường hợp-Đối chứng
Lĩnh vực	Dịch tễ học	Dịch tễ học
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1970s–1990s (methodological consolidation)	1950s (formal methodology); precursors in the 1920s
Người khởi xướng	Extension of classical ecological study design; matching principles formalized in 20th-century epidemiology	Janet Lane-Claypon (early precursors, 1926); formalized by Brian MacMahon and Jerome Cornfield in the 1950s–1960s
Loại	Observational study design	Observational analytic study design
Công trình gốc	Morgenstern, H. (1998). Ecologic studies in epidemiology: Concepts, principles, and methods. Annual Review of Public Health, 16, 61–81.	Schlesselman, J.J. (1982). Case-Control Studies: Design, Conduct, Analysis. Oxford University Press. ISBN: 978-0195027860
Tên gọi khác	matched ecologic study, geographically matched ecological study, area-matched ecological design, matched aggregate study	case-referent study, case-control design, retrospective case-control, case-control analysis
Liên quan	6	6
Tóm tắt	A matched ecological study is an observational epidemiological design in which aggregate units — such as geographic areas, communities, or time periods — are systematically paired or matched on key characteristics before comparing exposure and outcome rates. Matching at the group level controls for area-level confounders and improves comparability between exposed and unexposed units, producing more credible estimates of ecological associations than an unmatched counterpart.	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.