So sánh phương pháp

	Nghiên cứu trường hợp-chứng theo phương pháp phân tích gộp	Nghiên cứu bệnh-chứng lồng ghép
Lĩnh vực	Dịch tễ học	Dịch tễ học
Họ	Process / pipeline	Process / pipeline
Năm ra đời	1980s–2000 (formalized with MOOSE reporting guidelines in 2000)	1973–1977
Người khởi xướng	Systematic development attributed to multiple epidemiologists; MOOSE guidelines formalized by Stroup et al.	Nathan Mantel (1973); D. C. Thomas (1977 formalization)
Loại	Observational study synthesis	Hybrid observational study design
Công trình gốc	Shapiro, S. (1994). Meta-analysis/Shmeta-analysis. American Journal of Epidemiology, 140(9), 771-778.	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.
Tên gọi khác	pooled case-control analysis, case-control meta-analysis, meta-analytic case-control design, systematic pooled case-control	NCC study, nested CC design, case-control within cohort, density sampling case-control
Liên quan	4	6
Tóm tắt	A meta-analytic case-control study systematically identifies, critically appraises, and quantitatively synthesizes data from multiple independent case-control studies examining the same exposure-disease relationship. By pooling odds ratios across studies, it yields a more precise and generalizable estimate of association than any single study can provide, while formally quantifying heterogeneity across populations, settings, and study periods.	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.