Sammenlign metoder
Gjennomgå de valgte metodene side om side; rader som avviker, er uthevet.
| Prospektivt kasus-kontroll-design× | Kasus-Kryssdesign× | |
|---|---|---|
| Fagfelt | Epidemiologi | Epidemiologi |
| Familie | Process / pipeline | Process / pipeline |
| Opprinnelsesår≠ | 1991 (base design); prospective variant described in late 1990s–2000s | 1991 |
| Opphavsperson≠ | Malcolm Maclure (case-crossover concept); prospective variant established by subsequent methodologists including Navidi and Weinhandl | Malcolm Maclure |
| Type | Observational epidemiological study design | Observational epidemiological study design |
| Opprinnelig kilde | 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 ↗ | 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 ↗ |
| Alias | prospective case-crossover study, forward-looking case-crossover, prospective self-controlled case-crossover, real-time case-crossover | case-crossover study, CCO design, self-matched case study, within-person crossover case study |
| Relaterte | 3 | 3 |
| Sammendrag≠ | The prospective case-crossover design is an observational epidemiological study in which each case serves as their own control. Unlike the retrospective variant, exposures are recorded in real time as participants are followed forward, eliminating recall bias. It is particularly suited to investigating transient environmental or behavioral triggers of acute events such as myocardial infarction, asthma attacks, or road-traffic injuries. | The case-crossover design is an observational epidemiological method that estimates whether a transient exposure triggers an acute event by comparing each case's exposure during a brief hazard window immediately before the event to their own exposure during earlier control periods. Because each person serves as their own control, all stable personal characteristics are automatically adjusted for, making the design especially powerful for studying intermittent exposures and sudden-onset outcomes such as myocardial infarction, stroke, or injury. |
| ScholarGateDatasett ↗ |
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