Process / pipelineClinical / epidemiology

Meta-analytic Kaplan-Meier Analysis — Pooled Survival Curve Synthesis

Meta-analytic Kaplan-Meier analysis synthesizes time-to-event data across multiple studies by pooling Kaplan-Meier survival estimates, either from reconstructed individual patient data or from summary statistics extracted from published curves. It produces a pooled survival function with confidence bands and enables formal heterogeneity testing across studies, offering higher statistical power and more generalizable survival estimates than any single study alone.

Open in MethodMindSoonVideoSoon

Read the full method

Members only

Sign in with a free account to read this section.

Sign in

Sources

  1. Guyot, P., Ades, A. E., Ouwens, M. J., & Welton, N. J. (2012). Enhanced secondary analysis of survival data: reconstructing the data from published Kaplan-Meier survival curves. BMC Medical Research Methodology, 12, 9. DOI: 10.1186/1471-2288-12-9
  2. Tierney, J. F., Stewart, L. A., Ghersi, D., Burdett, S., & Sydes, M. R. (2007). Practical methods for incorporating summary time-to-event data into meta-analysis. Trials, 8, 16. DOI: 10.1186/1745-6215-8-16

Related methods

ScholarGateMeta-analytic Kaplan-Meier analysis (Meta-analytic Kaplan-Meier Survival Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/epidemiology/meta-analytic-kaplan-meier-analysis