Comparar métodos
Revisa los métodos seleccionados uno junto a otro; las filas que difieren aparecen resaltadas.
| Estudio Ecológico Pareado× | Estudio Ecológico× | |
|---|---|---|
| Campo | Epidemiología | Epidemiología |
| Familia | Process / pipeline | Process / pipeline |
| Año de origen≠ | 1970s–1990s (methodological consolidation) | 19th century (Snow 1854); formalised mid-20th century |
| Autor original≠ | 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 |
| Tipo≠ | Observational study design | Observational epidemiological study |
| Fuente seminal≠ | 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 ↗ |
| Alias | matched ecologic study, geographically matched ecological study, area-matched ecological design, matched aggregate study | aggregate study, correlational study, ecological correlation study, population-level study |
| Relacionados≠ | 6 | 5 |
| Resumen≠ | 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. |
| ScholarGateConjunto de datos ↗ |
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