Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Plan d'étude cas-témoins appariés× | Étude cas-témoins nichée× | |
|---|---|---|
| Domaine | Épidémiologie | Épidémiologie |
| Famille | Process / pipeline | Process / pipeline |
| Année d'origine≠ | 1991 (base design); matched variant refined ~1998–2000 | 1973–1977 |
| Auteur d'origine≠ | Malcolm Maclure (case-crossover); time-matched variant developed by Navidi (1998) and Lumley & Levy (2000) | Nathan Mantel (1973); D. C. Thomas (1977 formalization) |
| Type≠ | Observational epidemiological design | Hybrid observational study design |
| Source fondatrice≠ | 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 | matched case-crossover study, time-matched case-crossover, bidirectional case-crossover, symmetric bidirectional design | NCC study, nested CC design, case-control within cohort, density sampling case-control |
| Apparentées≠ | 3 | 6 |
| Résumé≠ | The matched case-crossover design is a self-controlled observational study in which each case serves as its own control. A short hazard window immediately before the acute event is compared with one or more matched control windows — selected to have the same day of week, season, or other time-varying covariate — making the design robust to stable individual confounders and calendar-time trends simultaneously. | 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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