เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| การทดลองทางคลินิกแบบสุ่มที่มีการจับคู่ (Matched Randomized Clinical Trial)× | การทดลองทางคลินิกแบบสุ่มที่มีการติดตามไปข้างหน้า× | |
|---|---|---|
| สาขาวิชา | ระบาดวิทยา | ระบาดวิทยา |
| ตระกูล | Process / pipeline | Process / pipeline |
| ปีกำเนิด≠ | Mid-20th century concept; methodological formalization circa 2000–2010 | 1948 (landmark MRC streptomycin trial) |
| ผู้ริเริ่ม≠ | Developed formally in biostatistics literature; Greevy, Imai and colleagues advanced modern frameworks in the 2000s | Austin Bradford Hill / Medical Research Council |
| ประเภท≠ | Experimental clinical study design | Experimental / interventional study design |
| แหล่งต้นตำรับ≠ | Imai, K., King, G., & Nall, C. (2009). The essential role of pair matching in cluster-randomized experiments, with application to the Mexican universal health insurance evaluation. Statistical Science, 24(1), 29–53. DOI ↗ | Medical Research Council (1948). Streptomycin treatment of pulmonary tuberculosis: a Medical Research Council investigation. British Medical Journal, 2(4582), 769–782. link ↗ |
| ชื่อเรียกอื่น | matched RCT, matched-pair randomized trial, matched randomized controlled trial, covariate-matched RCT | Prospective RCT, randomized controlled trial, RCT, controlled clinical trial |
| ที่เกี่ยวข้อง≠ | 6 | 5 |
| สรุป≠ | A matched randomized clinical trial pairs participants (or clusters) on key baseline characteristics before randomization, then allocates one member of each pair to treatment and the other to control. This design combines the causal validity of randomization with the covariate balance of matching, increasing statistical efficiency and reducing confounding from known prognostic variables without sacrificing the internal validity of a controlled experiment. | A prospective randomized clinical trial (RCT) is an experimental study in which participants are assigned to intervention or control groups by chance before any outcomes are observed, then followed forward in time. Random allocation eliminates systematic selection bias, making this design the gold standard for establishing causal efficacy of treatments in medicine and clinical research. |
| ScholarGateชุดข้อมูล ↗ |
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