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| Multicentrikus kohorszvizsgálat× | Kohorszvizsgálat× | |
|---|---|---|
| Tudományterület | Epidemiológia | Epidemiológia |
| Módszercsalád | Process / pipeline | Process / pipeline |
| Keletkezés éve≠ | Mid-to-late 20th century (widespread adoption 1970s–1990s) | Mid-20th century (formal epidemiological design codified ~1950s) |
| Megalkotó≠ | Developed incrementally through large collaborative epidemiological projects (e.g., Framingham Heart Study consortium expansions, 1948 onward; EPIC study, 1992) | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) |
| Típus≠ | Observational longitudinal study | Observational longitudinal study design |
| Alapmű | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| Alternatív nevek | multisite cohort study, multi-centre cohort, collaborative cohort study, pooled cohort study | longitudinal study, follow-up study, panel study, incidence study |
| Kapcsolódó | 6 | 6 |
| Összefoglaló≠ | A multicenter cohort study follows defined groups of participants at two or more geographically or institutionally distinct sites over time to estimate incidence, identify risk factors, and quantify associations between exposures and outcomes. By pooling data from multiple centers, it achieves statistical power and population diversity that single-site designs cannot match, making it the workhorse of large-scale epidemiological and clinical research. | 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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