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| Adaptiivinen tapaus-verrokkitutkimus× | Sisäkkäinen tauti-verrokkitutkimus× | |
|---|---|---|
| Tieteenala | Epidemiologia | Epidemiologia |
| Menetelmäperhe | Process / pipeline | Process / pipeline |
| Syntyvuosi≠ | 1950s (base design); adaptive extensions developed from the 1970s–1990s | 1973–1977 |
| Kehittäjä≠ | Builds on Doll & Hill (1950s) case-control foundations; adaptive elements drawn from sequential analysis (Wald, 1947) and group-sequential methods (Armitage, 1975) | Nathan Mantel (1973); D. C. Thomas (1977 formalization) |
| Tyyppi≠ | Adaptive observational epidemiological design | Hybrid observational study design |
| Alkuperäislähde≠ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 | 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 ↗ |
| Rinnakkaisnimet | adaptive case-control design, sequential case-control study, adaptive observational study, dynamic case-control study | NCC study, nested CC design, case-control within cohort, density sampling case-control |
| Liittyvät | 6 | 6 |
| Tiivistelmä≠ | An adaptive case-control study is a case-control design that incorporates pre-specified rules allowing modification of study parameters — such as sample size, case-to-control ratio, or matching criteria — based on interim data, without compromising validity. It combines the efficiency of adaptive methodology with the retrospective exposure-ascertainment logic of classical case-control research, enabling investigators to respond to emerging evidence while the study is ongoing. | 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. |
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