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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Journal of Nephrolog...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Journal of Nephrology
Article . 2004 . Peer-reviewed
License: OUP Standard Publication Reuse
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A primer on survival analysis

Authors: Izhar H, Khan; Gordon J, Prescott;

A primer on survival analysis

Abstract

Abstract Survival analysis is the statistical method for studying the time between entry to a study and a subsequent event. Survival is often the most important outcome in both observational and intervention studies. The analysis of survival, however, is not simple because of a number of factors. The time between entry to a study and the end of follow-up varies during the study period, as recruitment time for each subject is different. In addition, most studies have a finite duration during which not all subjects would have experienced the outcome of interest, while some patients might leave the study or are lost to follow-up. Survival analysis is not just concerned with time from treatment to death. The outcome could be any defined event such as time to doubling of serum creatinine concentration or first rejection episode following transplantation. An understanding of the principles involved in the statistical analyses of survival is essential for critical appraisal of studies, which employ these methods, and for designing clinical studies. This brief review describes the principles of survival analysis and its application to studies in nephrology.

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Keywords

Time Factors, Outcome Assessment, Health Care, Humans, Kidney Diseases, Life Tables, Survival Analysis, Proportional Hazards Models

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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