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Lĩnh vựcDịch tễ họcDịch tễ học
HọProcess / pipelineProcess / pipeline
Năm ra đời1990s19th century (Snow 1854); formalised mid-20th century
Người khởi xướngMorgenstern, Blettner, and colleagues in epidemiology methodologyVarious; foundational work by John Snow (1854) and systematised in modern form by Brian MacMahon and colleagues
LoạiQuantitative synthesis designObservational epidemiological study
Công trình gốcBlettner, M., Sauerbrei, W., Schlehofer, B., Scheuchenpflug, T., & Friedenreich, C. (1999). Traditional reviews, meta-analyses and pooled analyses in epidemiology. International Journal of Epidemiology, 28(1), 1–9. DOI ↗Morgenstern, H. (1995). Ecologic studies in epidemiology: concepts, principles, and methods. Annual Review of Public Health, 16(1), 61–81. DOI ↗
Tên gọi khácecological meta-analysis, aggregate-level meta-analysis, meta-analytic ecologic design, population-level meta-analysisaggregate study, correlational study, ecological correlation study, population-level study
Liên quan25
Tóm tắtA meta-analytic ecological study synthesises data from multiple populations or geographic units — rather than from individual patients — to estimate associations between exposures and health outcomes. By pooling aggregate-level statistics across studies or regions, it extends the reach of ecological reasoning to a wider evidence base, enabling detection of exposure-outcome relationships that single-population ecological analyses may miss due to limited variability or sample size.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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ScholarGateSo sánh phương pháp: Meta-analytic Ecological Study · Ecological Study. Truy cập ngày 2026-06-17 từ https://scholargate.app/vi/compare