เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การศึกษากรณี-ควบคุมแบบปรับตัวในกลุ่มประชากร× | การออกแบบแบบกรณี-สิ่งเปรียบเทียบ (Case-Crossover Design)× | |
|---|---|---|
| สาขาวิชา | ระบาดวิทยา | ระบาดวิทยา |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | Base design 1977; adaptive extensions from 1990s onward | 1991 |
| ผู้ริเริ่ม≠ | Nested case-control: D. C. Thomas (1977); adaptive design framework: Peter Bauer & Klaus Kohne (1994) | Malcolm Maclure |
| ประเภท≠ | Observational epidemiological study with adaptive design elements | Observational epidemiological study design |
| แหล่งต้นตำรับ≠ | 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. 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 ↗ |
| ชื่อเรียกอื่น | adaptive NCC, adaptive nested case-referent study, dynamic nested case-control, sequential nested case-control | case-crossover study, CCO design, self-matched case study, within-person crossover case study |
| ที่เกี่ยวข้อง≠ | 6 | 3 |
| สรุป≠ | An adaptive nested case-control study embeds a case-control comparison within a defined cohort and incorporates pre-specified interim decision rules that allow modifications — such as control-to-case ratio adjustment or biomarker sub-sampling revision — based on accumulating data, without compromising the study's validity or inflating type I error. The design combines the efficiency of the nested case-control framework with the flexibility of adaptive methodology to optimise resource use when exposure assessment is costly. | 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. |
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