เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การสังเคราะห์แบบอภิมานของการออกแบบที่ซ้อนกัน× | การศึกษาแบบกลุ่ม (Cohort Study)× | |
|---|---|---|
| สาขาวิชา | ระบาดวิทยา | ระบาดวิทยา |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | 1980s–2000s | Mid-20th century (formal epidemiological design codified ~1950s) |
| ผู้ริเริ่ม≠ | Synthesis of Mantel-Haenszel methods and nested case-control design; formal pooling frameworks developed by Rothman, Greenland, and collaborative groups (e.g., IARC) through the 1980s–2000s | Doll & Hill (British Doctors Study, 1951); Snow (cholera, 1854) |
| ประเภท≠ | Quantitative epidemiological synthesis | Observational longitudinal study design |
| แหล่งต้นตำรับ | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755641 |
| ชื่อเรียกอื่น | MNCC, pooled nested case-control, meta-analysis of nested case-control studies, nested case-control meta-analysis | longitudinal study, follow-up study, panel study, incidence study |
| ที่เกี่ยวข้อง≠ | 2 | 6 |
| สรุป≠ | Meta-analytic nested case-control analysis combines the efficiency advantages of the nested case-control design — in which cases and matched controls are sampled from a defined cohort — with the statistical power and generalisability gained by pooling estimates from multiple such studies. This approach is especially valuable in chronic-disease epidemiology where individual studies are often underpowered to detect modest exposure-outcome associations. | 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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