เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การศึกษากลุ่มควบคุมแบบหลายศูนย์ (Multicenter Case-Control Study)× | การศึกษาแบบจับคู่กรณี-ควบคุม× | |
|---|---|---|
| สาขาวิชา | ระบาดวิทยา | ระบาดวิทยา |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | Mid-20th century; multicenter framework formalised 1970s–1980s | 1950s–1970s |
| ผู้ริเริ่ม≠ | Epidemiology convention; seminal statistical framework by Breslow & Day (IARC, 1980) | Brian MacMahon and others; systematised by Schlesselman (1982) |
| ประเภท≠ | Observational analytical epidemiological design | Observational analytic design |
| แหล่งต้นตำรับ≠ | Breslow, N. E., & Day, N. E. (1980). Statistical Methods in Cancer Research. Volume I: The Analysis of Case-Control Studies. IARC Scientific Publications No. 32. International Agency for Research on Cancer, Lyon. ISBN: 978-9283211327 | Rothman, K. J., Greenland, S., & Lash, T. L. (2008). Modern Epidemiology (3rd ed.). Lippincott Williams & Wilkins. ISBN: 978-0781755474 |
| ชื่อเรียกอื่น | multisite case-control study, collaborative case-control study, pooled case-control study, multi-institutional case-control study | matched case-referent study, individually matched case-control, pair-matched case-control, matched case-control design |
| ที่เกี่ยวข้อง≠ | 6 | 5 |
| สรุป≠ | A multicenter case-control study is an observational design that identifies individuals who have developed a disease (cases) and disease-free comparators (controls) across two or more study sites simultaneously. By pooling recruitment across hospitals, clinics, or geographic regions, the design achieves larger sample sizes, captures exposure variability over broader populations, and improves the statistical power needed to detect modest odds ratios for rare or heterogeneous diseases. | A matched case-control study is an observational epidemiological design in which each case (a person with the disease or outcome of interest) is paired with one or more controls (persons without the outcome) who share one or more characteristics — such as age, sex, or clinical setting — to control confounding. Exposure history is then compared between cases and their matched controls to estimate the odds ratio of the exposure-disease association. |
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