Bandingkan kaedah
Semak kaedah pilihan anda secara bersebelahan; baris yang berbeza akan diserlahkan.
| Ujian Klinikal Rawak Berpasangan× | Ujian Klinikal Rawak (RCT)× | |
|---|---|---|
| Bidang | Epidemiologi | Epidemiologi |
| Keluarga | Process / pipeline | Process / pipeline |
| Tahun asal≠ | Mid-20th century concept; methodological formalization circa 2000–2010 | 1948 (first rigorously conducted RCT — MRC streptomycin trial) |
| Pengasas≠ | Developed formally in biostatistics literature; Greevy, Imai and colleagues advanced modern frameworks in the 2000s | Austin Bradford Hill; MRC Streptomycin Trial team |
| Jenis≠ | Experimental clinical study design | Interventional experimental study |
| Sumber perintis≠ | 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 ↗ | Friedman, L. M., Furberg, C. D., DeMets, D. L., Reboussin, D. M., & Granger, C. B. (2015). Fundamentals of Clinical Trials (5th ed.). Springer. ISBN: 978-3319185385 |
| Alias | matched RCT, matched-pair randomized trial, matched randomized controlled trial, covariate-matched RCT | RCT, randomized controlled trial, randomised controlled trial, clinical randomized trial |
| Berkaitan | 6 | 6 |
| Ringkasan≠ | 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 randomized clinical trial (RCT) is an experimental study design in which participants are randomly assigned to an intervention group or a control group, then followed prospectively to compare outcomes. Random allocation is the defining feature: it distributes known and unknown confounders across groups by chance, making the RCT the strongest individual study design for establishing causal efficacy of a treatment or intervention under controlled conditions. |
| ScholarGateSet data ↗ |
|
|