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| Kaplan-Meier-analyse× | Randomiseret klinisk forsøg (RCT)× | |
|---|---|---|
| Fagområde | Epidemiologi | Epidemiologi |
| Familie | Process / pipeline | Process / pipeline |
| Oprindelsesår≠ | 1958 | 1948 (first rigorously conducted RCT — MRC streptomycin trial) |
| Ophavsperson≠ | Edward L. Kaplan and Paul Meier | Austin Bradford Hill; MRC Streptomycin Trial team |
| Type≠ | Nonparametric survival estimator | Interventional experimental study |
| Oprindelig kilde≠ | Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457–481. 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 |
| Aliasser | KM analysis, KM estimator, product-limit estimator, Kaplan-Meier curve | RCT, randomized controlled trial, randomised controlled trial, clinical randomized trial |
| Relaterede≠ | 5 | 6 |
| Resumé≠ | Kaplan-Meier (KM) analysis is a nonparametric method for estimating the survival function from time-to-event data. Introduced by Kaplan and Meier in 1958, it produces the classic step-function survival curve that shows the probability of surviving beyond each observed event time, correctly accounting for censored observations — participants who left the study or had not yet experienced the event by the end of follow-up. It is one of the most widely used techniques in clinical and epidemiological research. | 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. |
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