Process / pipelineClinical / epidemiology

Risk-adjusted Kaplan-Meier Analysis — Weighted Survival Curves

Risk-adjusted Kaplan-Meier analysis combines the non-parametric Kaplan-Meier estimator with inverse probability of treatment weighting (IPTW) or similar risk-adjustment procedures to produce survival curves that are comparable across groups as if the groups had identical distributions of baseline confounders. It is the observational-study analogue of plotting survival curves from a randomised trial.

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Sources

  1. Cole, S. R., & Hernan, M. A. (2004). Adjusted survival curves with inverse probability weights. Computer Methods and Programs in Biomedicine, 75(1), 45–49. DOI: 10.1016/j.cmpb.2003.10.004
  2. Hernan, M. A., Brumback, B., & Robins, J. M. (2001). Marginal structural models to estimate the joint causal effect of nonrandomized treatments. Journal of the American Statistical Association, 96(454), 440–448. DOI: 10.1198/016214501753168154

Related methods

ScholarGateRisk-adjusted Kaplan-Meier analysis (Risk-adjusted Kaplan-Meier Survival Analysis). Retrieved 2026-06-04 from https://scholargate.app/en/epidemiology/risk-adjusted-kaplan-meier-analysis