Survival Analysis II: Cox Regression
Vianda S Stel, Friedo Wilhelm Dekker, Giovanni Luigi Tripepi, Carmine Zoccali, Kitty J. Jager
Abstract
Vianda S Stel, Friedo Wilhelm Dekker, Giovanni Luigi Tripepi, Carmine Zoccali, Kitty J. Jager
Abstract
In contrast to the Kaplan-Meier method, Cox proportional hazards regression can provide an effect estimate by quantifying the difference in survival between patient groups and can adjust for confounding effects of other variables. The purpose of this article is to explain the basic concepts of the Cox regression method, and to provide some guidance regarding the presentation of the results.
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In contrast to the Kaplan-Meier method, Cox proportional hazards regression can provide an effect estimate by quantifying the difference in survival between patient groups and can adjust for confounding effects of other variables. The purpose of this article is to explain the basic concepts of the Cox regression method, and to provide some guidance regarding the presentation of the results.
Key concepts: Proportional hazards model, Medicine, Confounding, Regression, Regression analysis, Survival analysis, Contrast (vision), Regression dilution