方法对比
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| 实用生态学研究× | 剂量-反应分析× | |
|---|---|---|
| 领域 | 流行病学 | 流行病学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1967–1982 (pragmatic concept 1967; ecological study formalized ~1982) | Conceptual roots 16th century; modern epidemiological application mid-20th century |
| 提出者≠ | Morgenstern (ecological study framework); Schwartz & Lellouch (pragmatic design concept) | Paracelsus (conceptual foundation); formalized by John Snow and later Bradford Hill |
| 类型≠ | Observational ecological study with pragmatic framing | Quantitative analytical method |
| 开创性文献≠ | Morgenstern, H. (1982). Uses of ecologic analysis in epidemiologic research. American Journal of Public Health, 72(12), 1336–1344. DOI ↗ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| 别名 | real-world ecological study, effectiveness ecological study, population-level pragmatic study, pragmatic ecologic design | exposure-response analysis, concentration-response modeling, dose-response modeling, DRA |
| 相关≠ | 5 | 4 |
| 摘要≠ | 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. | Dose-response analysis quantifies the relationship between the magnitude of an exposure (the dose) and the probability or rate of an outcome (the response). It is a core analytical strategy in epidemiology and toxicology, providing evidence that increasing exposure systematically increases — or decreases — the risk of disease. A demonstrated dose-response gradient is one of Bradford Hill's classic criteria supporting causal inference. |
| ScholarGate数据集 ↗ |
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