Process / pipelineClinical / epidemiology
Matched Kaplan-Meier Analysis — Survival Estimation in Matched Cohorts
Matched Kaplan-Meier analysis estimates and compares survival functions in groups that have been pre-balanced through individual or propensity-score matching. By applying the Kaplan-Meier product-limit estimator to matched cohorts or matched pairs, investigators can visualize time-to-event outcomes while controlling for confounders that would otherwise distort treatment or exposure comparisons in observational data.
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Sources
- 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 ↗
- Austin, P. C. (2014). Pointwise confidence intervals for restricted mean survival time in a propensity-matched analysis. Statistics in Medicine, 33(14), 2659-2671. DOI: 10.1002/sim.6152 ↗