Process / pipelineClinical / epidemiology

Pragmatic Kaplan-Meier Analysis — Survival Estimation in Real-World Settings

Pragmatic Kaplan-Meier analysis applies the non-parametric Kaplan-Meier product-limit estimator to time-to-event data collected under real-world or pragmatic conditions — diverse populations, routine clinical care, minimal exclusions, and standard-of-care comparators. Unlike explanatory trials designed to isolate a treatment effect under ideal conditions, pragmatic designs accept real-world heterogeneity, and the resulting survival curves reflect the effectiveness of an intervention as it actually performs in clinical practice.

MethodMind'de açSoonVideoSoon

Tam yöntemi oku

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457–481. DOI: 10.1080/01621459.1958.10501452
  2. Schwartz, D., & Lellouch, J. (1967). Explanatory and pragmatic attitudes in therapeutical trials. Journal of Chronic Diseases, 20(8), 637–648. DOI: 10.1016/0021-9681(67)90041-0

Related methods

ScholarGatePragmatic Kaplan-Meier analysis (Pragmatic Kaplan-Meier Survival Analysis). Retrieved 2026-06-04 from https://scholargate.app/tr/epidemiology/pragmatic-kaplan-meier-analysis