Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Analýza dávka-odezva× | Ekologická studie× | |
|---|---|---|
| Obor | Epidemiologie | Epidemiologie |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | Conceptual roots 16th century; modern epidemiological application mid-20th century | 19th century (Snow 1854); formalised mid-20th century |
| Tvůrce≠ | Paracelsus (conceptual foundation); formalized by John Snow and later Bradford Hill | Various; foundational work by John Snow (1854) and systematised in modern form by Brian MacMahon and colleagues |
| Typ≠ | Quantitative analytical method | Observational epidemiological study |
| Původní zdroj≠ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 | Morgenstern, H. (1995). Ecologic studies in epidemiology: concepts, principles, and methods. Annual Review of Public Health, 16(1), 61–81. DOI ↗ |
| Další názvy | exposure-response analysis, concentration-response modeling, dose-response modeling, DRA | aggregate study, correlational study, ecological correlation study, population-level study |
| Příbuzné≠ | 4 | 5 |
| Shrnutí≠ | 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. | 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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