Survival Analysis II: Cox Regression | Zendy

Vianda S Stel | Zendy; Friedo W. Dekker | Zendy; Giovanni Tripepi | Zendy; Carmine Zoccali | Zendy; Kitty J. Jager | Zendy

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Survival Analysis II: Cox Regression

Author(s) -

Vianda S Stel,

Friedo W. Dekker,

Giovanni Tripepi,

Carmine Zoccali,

Kitty J. Jager

Publication year - 2011

Publication title -

nephron clinical practice

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.951

H-Index - 72

ISSN - 1660-2110

DOI - 10.1159/000328916

Subject(s) - proportional hazards model , medicine , confounding , regression , regression analysis , survival analysis , contrast (vision) , regression dilution , statistics , oncology , polynomial regression , artificial intelligence , mathematics , computer science

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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