เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การออกแบบแบบกรณี-สิ่งเปรียบเทียบ (Case-Crossover Design)× | การศึกษาแบบกลุ่ม (Cohort Study)× | |
|---|---|---|
| สาขาวิชา | ระบาดวิทยา | ระบาดวิทยา |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1991 | Mid-20th century (formal epidemiological design codified ~1950s) |
| ผู้ริเริ่ม≠ | Malcolm Maclure | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) |
| ประเภท≠ | Observational epidemiological study design | Observational longitudinal study design |
| แหล่งต้นตำรับ≠ | 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 ↗ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| ชื่อเรียกอื่น | case-crossover study, CCO design, self-matched case study, within-person crossover case study | longitudinal study, follow-up study, panel study, incidence study |
| ที่เกี่ยวข้อง≠ | 3 | 6 |
| สรุป≠ | 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. | 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. |
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