Literature DB >> 21921637

Survival analysis II: Cox regression.

Vianda S Stel1, Friedo W Dekker, Giovanni 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.
Copyright © 2011 S. Karger AG, Basel.

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Year:  2011        PMID: 21921637     DOI: 10.1159/000328916

Source DB:  PubMed          Journal:  Nephron Clin Pract        ISSN: 1660-2110


  17 in total

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2.  Choline-to-N-acetyl aspartate and lipids-lactate-to-creatine ratios together with age assemble a significant Cox's proportional-hazards regression model for prediction of survival in high-grade gliomas.

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3.  Epidemic outbreak of Chikungunya in two neighboring towns in the Colombian Caribbean: a survival analysis.

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4.  Integrated Bioinformatic Analysis of a Competing Endogenous RNA Network Reveals a Prognostic Signature in Endometrial Cancer.

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5.  Identification of LncRNA Prognostic Markers for Ovarian Cancer by Integration of Co-expression and CeRNA Network.

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Review 8.  Regression methods for investigating risk factors of chronic kidney disease outcomes: the state of the art.

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9.  A Five-microRNA Signature as Prognostic Biomarker in Colorectal Cancer by Bioinformatics Analysis.

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10.  Survival and predictors of deaths of patients hospitalised due to COVID-19 from a retrospective and multicentre cohort study in Brazil.

Authors:  M M Santos; E E S Lucena; K C Lima; A A C Brito; M B Bay; D Bonfada
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