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| Kohortestudie× | Kasus-kontrolstudie× | |
|---|---|---|
| Fagområde | Epidemiologi | Epidemiologi |
| Familie | Process / pipeline | Process / pipeline |
| Oprindelsesår≠ | Mid-20th century (formal epidemiological design codified ~1950s) | 1950s (formal methodology); precursors in the 1920s |
| Ophavsperson≠ | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) | Janet Lane-Claypon (early precursors, 1926); formalized by Brian MacMahon and Jerome Cornfield in the 1950s–1960s |
| Type≠ | Observational longitudinal study design | Observational analytic study design |
| Oprindelig kilde≠ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 | Schlesselman, J.J. (1982). Case-Control Studies: Design, Conduct, Analysis. Oxford University Press. ISBN: 978-0195027860 |
| Aliasser | longitudinal study, follow-up study, panel study, incidence study | case-referent study, case-control design, retrospective case-control, case-control analysis |
| Relaterede | 6 | 6 |
| Resumé≠ | 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. | A case-control study is a retrospective observational design in which individuals who have developed a disease or outcome of interest (cases) are compared with individuals who have not (controls) to determine whether prior exposure to a putative risk factor differs between the two groups. The primary measure of association is the odds ratio, which approximates the relative risk when the outcome is rare. Case-control studies are especially efficient for investigating rare diseases and generating etiological hypotheses. |
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