Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Randomizovaná klinická studie (RCT)× | Průřezová epidemiologická studie× | |
|---|---|---|
| Obor | Epidemiologie | Epidemiologie |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 1948 (first rigorously conducted RCT — MRC streptomycin trial) | 1960s (formal codification); widely practiced since mid-20th century |
| Tvůrce≠ | Austin Bradford Hill; MRC Streptomycin Trial team | Classical epidemiology tradition; systematized by Brian MacMahon and Thomas Pugh (1960s) |
| Typ≠ | Interventional experimental study | Observational, descriptive/analytic epidemiological design |
| Původní zdroj≠ | 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 | Kelsey, J. L., Whittemore, A. S., Evans, A. S., & Thompson, W. D. (1996). Methods in Observational Epidemiology (2nd ed.). Oxford University Press. ISBN: 978-0195080407 |
| Další názvy | RCT, randomized controlled trial, randomised controlled trial, clinical randomized trial | prevalence study, cross-sectional survey, transversal study, cross-sectional design |
| Příbuzné | 6 | 6 |
| Shrnutí≠ | 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. | A cross-sectional epidemiological study measures the exposure(s) and outcome(s) of interest simultaneously in a defined population at a single point in time (or over a short period). Because there is no follow-up, it is the most efficient observational design for estimating disease prevalence and for generating hypotheses about associations between risk factors and health outcomes. |
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