Process / pipelineClinical / epidemiology

Multicenter Kaplan-Meier Analysis — Pooled Survival Estimation Across Sites

Multicenter Kaplan-Meier analysis applies the Kaplan-Meier nonparametric estimator to time-to-event data collected from two or more clinical centers. By pooling or stratifying data across sites, it estimates survival functions and compares them between treatment groups while accounting for potential center effects, enabling conclusions with greater statistical power and broader generalizability than single-center studies.

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Sources

  1. Kaplan, E. L., & Meier, P. (1958). Nonparametric estimation from incomplete observations. Journal of the American Statistical Association, 53(282), 457–481. DOI: 10.2307/2281868
  2. Therneau, T. M., & Grambsch, P. M. (2000). Modeling Survival Data: Extending the Cox Model. Springer. ISBN: 978-0387987842

Related methods

ScholarGateMulticenter Kaplan-Meier analysis (Multicenter Kaplan-Meier Survival Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/epidemiology/multicenter-kaplan-meier-analysis