The analysis of survival data in nephrology: basic concepts and methods of Cox regression.

@article{citeulike:2965586, 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.Kidney International advance online publication, 2 July 2008; doi:10.1038/ki.2008.294.}, address = {[1] 1Department of Medical Informatics, ERA-EDTA Registry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands [2] 2Department of Clinical Epidemiology, Biostatistics and Bio-informatics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands.}, author = {van Dijk, Paul C C. and Jager, Kitty J J. and Zwinderman, Aeilko H H. and Zoccali, Carmine and Dekker, Friedo W W. }, citeulike-article-id = {2965586}, doi = {10.1038/ki.2008.294}, issn = {1523-1755}, journal = {Kidney international}, keywords = {cox, survival-analysis}, month = {July}, posted-at = {2008-07-05 06:13:26}, priority = {2}, title = {The analysis of survival data in nephrology: basic concepts and methods of Cox regression.}, url = {http://dx.doi.org/10.1038/ki.2008.294}, year = {2008} }

TY - JOUR ID - citeulike:2965586 L3 - citeulike-article-id:2965586 TI - The analysis of survival data in nephrology: basic concepts and methods of Cox regression. JF - Kidney international AD - [1] 1Department of Medical Informatics, ERA-EDTA Registry, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands [2] 2Department of Clinical Epidemiology, Biostatistics and Bio-informatics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands. SN - 1523-1755 N2 - 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.Kidney International advance online publication, 2 July 2008; doi:10.1038/ki.2008.294. KW - cox KW - survival-analysis AU - van Dijk, Paul C AU - Jager, Kitty J AU - Zwinderman, Aeilko H AU - Zoccali, Carmine AU - Dekker, Friedo W PY - 2008/07/02/ UR - http://dx.doi.org/10.1038/ki.2008.294 ER -