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Kaplan-Meier-analys×Randomiserad klinisk prövning (RCT)×
ÄmnesområdeEpidemiologiEpidemiologi
FamiljProcess / pipelineProcess / pipeline
Ursprungsår19581948 (first rigorously conducted RCT — MRC streptomycin trial)
UpphovspersonEdward L. Kaplan and Paul MeierAustin Bradford Hill; MRC Streptomycin Trial team
TypNonparametric survival estimatorInterventional experimental study
UrsprungskällaKaplan, 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
AliasKM analysis, KM estimator, product-limit estimator, Kaplan-Meier curveRCT, randomized controlled trial, randomised controlled trial, clinical randomized trial
Närliggande56
SammanfattningKaplan-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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ScholarGateJämför metoder: Kaplan-Meier Analysis · Randomized clinical trial. Hämtad 2026-06-18 från https://scholargate.app/sv/compare