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Review
. 2012 Jun;24(3):203-6.
doi: 10.1007/BF03325249.

An overview on standard statistical methods for assessing exposure-outcome link in survival analysis (Part II): the Kaplan-Meier analysis and the Cox regression method

Samar Abd ElHafeez  1 , Claudia Torino, Graziella D'Arrigo, Davide Bolignano, Fabio Provenzano, Francesco Mattace-Raso, Carmine Zoccali, Giovanni Tripepi
Affiliations
Review

An overview on standard statistical methods for assessing exposure-outcome link in survival analysis (Part II): the Kaplan-Meier analysis and the Cox regression method

Samar Abd ElHafeez et al. Aging Clin Exp Res. 2012 Jun.

Abstract

The Kaplan-Meier and the Cox regression methods are the most used statistical techniques for performing "time to event analysis" in epidemiological and clinical research. The Kaplan-Meier analysis allows to build up one or more survival curves describing the occurrence of the outcome of interest over time according to the presence/absence of one or more exposures. The Cox regression method models the relationship between a specific exposure (either a continuous one like age, and systolic blood pressure or a categorical one like diabetes, degree of obesity, etc.) and the occurrence of a given outcome taking into account multiple confounders and/or predictors.

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