Process / pipelineClinical / epidemiology

Risk-adjusted Cox Proportional Hazards — Multivariable Survival Regression

Risk-adjusted Cox proportional hazards regression extends the classical Cox (1972) survival model by simultaneously entering known confounders — age, sex, comorbidities, disease severity — into the model alongside the exposure of primary interest. This adjustment isolates the independent effect of the exposure on the hazard of an event, producing hazard ratios (HRs) that are not distorted by baseline differences between comparison groups. It is the most widely used method for multivariable survival analysis in clinical and epidemiological research.

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Sources

  1. Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society: Series B (Methodological), 34(2), 187–202. DOI: 10.1111/j.2517-6161.1972.tb00899.x
  2. Hosmer, D. W., Lemeshow, S., & May, S. (2008). Applied Survival Analysis: Regression Modeling of Time-to-Event Data (2nd ed.). Wiley. ISBN: 978-0471754992

Related methods

ScholarGateRisk-adjusted Cox Proportional Hazards (Risk-adjusted Cox Proportional Hazards Regression). Retrieved 2026-06-04 from https://scholargate.app/en/epidemiology/risk-adjusted-cox-proportional-hazards