Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Ekoloģiskais pētījums× | Kohortas pētījums× | |
|---|---|---|
| Nozare | Epidemioloģija | Epidemioloģija |
| Saime | Process / pipeline | Process / pipeline |
| Izcelsmes gads≠ | 19th century (Snow 1854); formalised mid-20th century | Mid-20th century (formal epidemiological design codified ~1950s) |
| Autors≠ | Various; foundational work by John Snow (1854) and systematised in modern form by Brian MacMahon and colleagues | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) |
| Tips≠ | Observational epidemiological study | Observational longitudinal study design |
| Pirmavots≠ | Morgenstern, H. (1995). Ecologic studies in epidemiology: concepts, principles, and methods. Annual Review of Public Health, 16(1), 61–81. DOI ↗ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| Citi nosaukumi | aggregate study, correlational study, ecological correlation study, population-level study | longitudinal study, follow-up study, panel study, incidence study |
| Saistītās≠ | 5 | 6 |
| Kopsavilkums≠ | 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. | A cohort study assembles a group of individuals who share a common starting point — typically freedom from the outcome of interest — and follows them over time to observe who develops the outcome. By comparing incidence rates between exposed and unexposed subgroups, researchers can estimate relative risk and absolute risk differences. Cohort studies are the gold-standard observational design for measuring disease incidence and establishing temporal relationships between exposure and outcome. |
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