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	Meta-analityczna analiza przypadków i kontroli zagnieżdżonych	Badanie kohortowe	Badanie zagnieżdżone typu przypadek-kontrola
Dziedzina	Epidemiologia	Epidemiologia	Epidemiologia
Rodzina	Process / pipeline	Process / pipeline	Process / pipeline
Rok powstania	1980s–2000s	Mid-20th century (formal epidemiological design codified ~1950s)	1973–1977
Twórca	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)	Nathan Mantel (1973); D. C. Thomas (1977 formalization)
Typ	Quantitative epidemiological synthesis	Observational longitudinal study design	Hybrid observational study design
Źródło pierwotne	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	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.
Inne nazwy	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	NCC study, nested CC design, case-control within cohort, density sampling case-control
Pokrewne	2	6	6
Podsumowanie	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.	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.