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| Disegno caso-incrocio meta-analitico× | Studio caso-controllo nidificato× | |
|---|---|---|
| Campo | Epidemiologia | Epidemiologia |
| Famiglia | Process / pipeline | Process / pipeline |
| Anno di origine≠ | 1991 (base design); meta-analytic applications from late 1990s onward | 1973–1977 |
| Ideatore≠ | Maclure (case-crossover basis, 1991); meta-analytic extension through environmental epidemiology consortia (1990s–2000s) | Nathan Mantel (1973); D. C. Thomas (1977 formalization) |
| Tipo≠ | Observational epidemiological design with meta-analytic synthesis | Hybrid observational study design |
| Fonte seminale≠ | Maclure, M. (1991). The case-crossover design: a method for studying transient effects on the risk of acute events. American Journal of Epidemiology, 133(2), 144–153. DOI ↗ | 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 ↗ |
| Alias | pooled case-crossover analysis, case-crossover meta-analysis, MACCO, systematic pooling of case-crossover studies | NCC study, nested CC design, case-control within cohort, density sampling case-control |
| Correlati≠ | 3 | 6 |
| Sintesi≠ | The meta-analytic case-crossover design combines the within-person control structure of the case-crossover study with formal meta-analytic pooling across multiple studies. Each contributing study uses cases as their own controls by comparing exposure windows immediately preceding an acute event to matched reference windows in the same individual. The pooled approach synthesizes conditional odds ratios across studies, maximizing statistical power and generalizability — commonly applied to short-term environmental exposures such as air pollution, temperature extremes, and drug triggers of acute events. | 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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