Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Прагматическое экологическое исследование× | Экологическое исследование× | |
|---|---|---|
| Область | Эпидемиология | Эпидемиология |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1967–1982 (pragmatic concept 1967; ecological study formalized ~1982) | 19th century (Snow 1854); formalised mid-20th century |
| Автор метода≠ | Morgenstern (ecological study framework); Schwartz & Lellouch (pragmatic design concept) | Various; foundational work by John Snow (1854) and systematised in modern form by Brian MacMahon and colleagues |
| Тип≠ | Observational ecological study with pragmatic framing | Observational epidemiological study |
| Основополагающий источник≠ | Morgenstern, H. (1982). Uses of ecologic analysis in epidemiologic research. American Journal of Public Health, 72(12), 1336–1344. DOI ↗ | Morgenstern, H. (1995). Ecologic studies in epidemiology: concepts, principles, and methods. Annual Review of Public Health, 16(1), 61–81. DOI ↗ |
| Другие названия | real-world ecological study, effectiveness ecological study, population-level pragmatic study, pragmatic ecologic design | aggregate study, correlational study, ecological correlation study, population-level study |
| Связанные | 5 | 5 |
| Сводка≠ | A pragmatic ecological study is an observational epidemiological design that examines associations between exposures and outcomes at the population or group level — using routinely collected, real-world data — with the explicit goal of informing practical public health decisions under everyday conditions. Rather than controlling every variable in a laboratory-like manner, it embraces the complexity and heterogeneity of natural settings to answer effectiveness questions relevant to policy. | 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. |
| ScholarGateНабор данных ↗ |
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