The analysis of survival data in nephrology: basic concepts and methods of Cox regression.
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- Record sourced from PubMed, PMID 18596734.
- Also identified by DOI 10.1038/ki.2008.294.
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Abstract
How much does the survival of one group differ from the survival of another group? How do differences in age in these two groups affect such a comparison? To obtain a quantity to compare the survival of different patient groups and to account for confounding effects, a multiple regression technique for survival data is needed. Cox regression is perhaps the most popular regression technique for survival analysis. This paper explains how Cox regression works, what the proportionality assumption means and how to interpret the results of univariate and multiple Cox regression models.
Medical subject headings
- Nephrology
- Proportional Hazards Models
- Survival Analysis