Analysis of the Time to an Event: Survival Analysis
Gerald van Belle, Lloyd D. Fisher, Patrick J. Heagerty, Thomas Lumley
Abstract
Gerald van Belle, Lloyd D. Fisher, Patrick J. Heagerty, Thomas Lumley
Abstract
Survival analysis of time to an event such as death or sickness. The survivorship function is estimated via the actuarial method and the Kaplan-Meier curve. Both are compared graphically and via the log-rank test. Stratification is needed when confounding is present. The Cox proportional hazard model incorporates covariates into the survival model. Other parametric and non-parametric models are discussed.
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Survival analysis of time to an event such as death or sickness. The survivorship function is estimated via the actuarial method and the Kaplan-Meier curve. Both are compared graphically and via the log-rank test. Stratification is needed when confounding is present. The Cox proportional hazard model incorporates covariates into the survival model. Other parametric and non-parametric models are discussed.
Key concepts: Survival analysis, Proportional hazards model, Covariate, Statistics, Survivorship curve, Confounding, Log-rank test, Parametric statistics