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Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Мета-аналітичний аналіз за вкладеною когортою випадок-контроль× | Когортне дослідження× | |
|---|---|---|
| Галузь | Епідеміологія | Епідеміологія |
| Родина | Process / pipeline | Process / pipeline |
| Рік появи≠ | 1980s–2000s | Mid-20th century (formal epidemiological design codified ~1950s) |
| Автор методу≠ | Synthesis of Mantel-Haenszel methods and nested case-control design; formal pooling frameworks developed by Rothman, Greenland, and collaborative groups (e.g., IARC) through the 1980s–2000s | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) |
| Тип≠ | Quantitative epidemiological synthesis | Observational longitudinal study design |
| Основоположне джерело | 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 |
| Інші назви | MNCC, pooled nested case-control, meta-analysis of nested case-control studies, nested case-control meta-analysis | longitudinal study, follow-up study, panel study, incidence study |
| Пов'язані≠ | 2 | 6 |
| Підсумок≠ | Meta-analytic nested case-control analysis combines the efficiency advantages of the nested case-control design — in which cases and matched controls are sampled from a defined cohort — with the statistical power and generalisability gained by pooling estimates from multiple such studies. This approach is especially valuable in chronic-disease epidemiology where individual studies are often underpowered to detect modest exposure-outcome associations. | 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. |
| ScholarGateНабір даних ↗ |
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