Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Nesterá případová kontrolní studie× | Prospektivní kohortová studie× | |
|---|---|---|
| Obor | Epidemiologie | Epidemiologie |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 1973–1977 | 1950s (systematic application); conceptual roots earlier |
| Tvůrce≠ | Nathan Mantel (1973); D. C. Thomas (1977 formalization) | Richard Doll and Austin Bradford Hill (landmark application, 1951-1954); cohort methodology formalised by modern epidemiology textbooks |
| Typ≠ | Hybrid observational study design | Observational longitudinal study design |
| Původní zdroj≠ | Thomas, D. C. (1977). Addendum to: Methods of cohort analysis: Appraisal by application to asbestos mining. Journal of the Royal Statistical Society, Series A, 140(4), 469–491. link ↗ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| Další názvy | NCC study, nested CC design, case-control within cohort, density sampling case-control | longitudinal cohort study, prospective follow-up study, incidence study, prospective observational cohort |
| Příbuzné | 6 | 6 |
| Shrnutí≠ | A nested case-control study is an efficient observational design embedded within a defined cohort. For each participant who develops the outcome of interest (a case), a small number of matched controls are sampled from those still at risk at the same point in time. This density-sampling strategy yields odds ratios that approximate incidence-rate ratios from the full cohort at a fraction of the data-collection cost — making it the preferred alternative when measuring exposures for all cohort members would be prohibitively expensive or technically demanding. | A prospective cohort study assembles a group of participants who are free of the outcome of interest at baseline, measures their exposures, and then follows them forward in time to record who develops the outcome. By collecting exposure data before outcomes occur, it establishes a clear temporal sequence that supports causal inference — a major advantage over retrospective designs. It is the cornerstone observational method in epidemiology and clinical research. |
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