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| 매칭된 생태학적 연구× | 생태학 연구× | |
|---|---|---|
| 분야 | 역학 | 역학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1970s–1990s (methodological consolidation) | 19th century (Snow 1854); formalised mid-20th century |
| 창시자≠ | Extension of classical ecological study design; matching principles formalized in 20th-century epidemiology | Various; foundational work by John Snow (1854) and systematised in modern form by Brian MacMahon and colleagues |
| 유형≠ | Observational study design | Observational epidemiological study |
| 원전≠ | Morgenstern, H. (1998). Ecologic studies in epidemiology: Concepts, principles, and methods. Annual Review of Public Health, 16, 61–81. link ↗ | Morgenstern, H. (1995). Ecologic studies in epidemiology: concepts, principles, and methods. Annual Review of Public Health, 16(1), 61–81. DOI ↗ |
| 별칭 | matched ecologic study, geographically matched ecological study, area-matched ecological design, matched aggregate study | aggregate study, correlational study, ecological correlation study, population-level study |
| 관련≠ | 6 | 5 |
| 요약≠ | 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. | An ecological study is an observational epidemiological design in which the unit of analysis is a group or population — a country, region, city, or time period — rather than an individual. Exposures and outcomes are measured as aggregates (rates, proportions, or means) and then correlated across groups to generate or evaluate hypotheses about population-level associations between risk factors and disease. |
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