Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Ретроспективне вкладене дослідження типу "випадок-контроль"× | Ретроспективне дослідження типу «випадок-контроль»× | |
|---|---|---|
| Галузь | Епідеміологія | Епідеміологія |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1973 (formal description); widely adopted in epidemiology from 1980s onward | 1950s–1960s (formal methodology) |
| Автор методу≠ | Nested case-control formalized by Mantel (1973); retrospective application via historical cohort records | Jerome Cornfield; formalized by Brian MacMahon and others in mid-20th-century epidemiology |
| Тип≠ | Observational analytic study design | Observational analytical study |
| Основоположне джерело≠ | Mantel, N. (1973). Synthetic retrospective studies and related topics. Biometrics, 29(3), 479–486. link ↗ | Schlesselman, J. J. (1982). Case-Control Studies: Design, Conduct, Analysis. Oxford University Press. ISBN: 978-0195029338 |
| Інші назви | retrospective NCC, nested case-control within retrospective cohort, case-control nested in historical cohort, nested CCR | case-control study, retrospective case-referent study, case-referent design, trohoc study |
| Пов'язані | 5 | 5 |
| Підсумок≠ | A retrospective nested case-control study is an efficient observational design in which cases and matched controls are sampled from within an already-assembled retrospective cohort. Exposure data are retrieved from historical records only for selected participants, dramatically reducing data-collection costs while retaining most of the analytic power of the full cohort. It is widely used in pharmacoepidemiology, occupational health, and disease-registry research. | A retrospective case-control study identifies individuals who already have an outcome of interest (cases) and a comparable group without it (controls), then looks backward in time using existing records to determine prior exposure to a suspected risk factor. The primary measure of association is the odds ratio. This design is especially efficient for studying rare diseases or outcomes with long latency periods, since the outcome has already occurred before the study begins. |
| ScholarGateНабір даних ↗ |
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