2011•Nephron Clinical PracticeRequires access

Survival Analysis II: Cox Regression

Vianda S Stel, Friedo Wilhelm Dekker, Giovanni Luigi Tripepi, Carmine Zoccali, Kitty J. Jager

Open publisher page 75 citations

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.

About this research paper

What this paper is about

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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OpenAlex reports 75 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available 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.

Key concepts: Proportional hazards model, Medicine, Confounding, Regression, Regression analysis, Survival analysis, Contrast (vision), Regression dilution

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