Porovnať metódy
Prezrite si vybrané metódy vedľa seba; riadky, ktoré sa líšia, sú zvýraznené.
| Randomizovaná klinická štúdia (RKS)× | Analýza prežitia× | |
|---|---|---|
| Odbor≠ | Epidemiológia | Štatistika vo výskume |
| Rodina | Process / pipeline | Process / pipeline |
| Rok vzniku≠ | 1948 (first rigorously conducted RCT — MRC streptomycin trial) | 1958 |
| Tvorca≠ | Austin Bradford Hill; MRC Streptomycin Trial team | Edward L. Kaplan and Paul Meier |
| Typ≠ | Interventional experimental study | Method |
| Pôvodný 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 | Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457–481. DOI ↗ |
| Ďalšie názvy≠ | RCT, randomized controlled trial, randomised controlled trial, clinical randomized trial | Kaplan-Meier analysis, Cox regression, TTE analysis |
| Príbuzné≠ | 6 | 3 |
| Zhrnutie≠ | 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. | Survival analysis is a collection of statistical methods for modeling time from a defined starting point until an event of interest occurs (disease, recovery, death, equipment failure). Kaplan and Meier's nonparametric estimator (1958) and David Cox's proportional hazards model (1972) jointly enabled analysis of censored data—individuals whose event times are unknown because they left the study or were still event-free at follow-up. Indispensable in oncology, cardiology, infectious disease research, engineering reliability, and any field where time-to-event matters. |
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