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The analysis of survival data: the Kaplan-Meier method.
- Source :
-
Kidney international [Kidney Int] 2008 Sep; Vol. 74 (5), pp. 560-5. Date of Electronic Publication: 2008 Jul 02. - Publication Year :
- 2008
-
Abstract
- What is this patient's prognosis regarding graft rejection? Do patients using a particular drug live longer than those not using it? How does this co-morbidity affect access to transplantation? To answer this type of questions one needs to perform survival analysis. This paper focuses on the Kaplan-Meier method, the most popular method used for survival analysis. It makes it possible to calculate the incidence rate of events like recovery of renal function, myocardial infarction or death by using information from all subjects at risk for these events. It explains how the method works, how survival probabilities are calculated, survival data can be summarized and survival in groups can be compared using the logrank test for hypothesis testing. In addition, it provides some guidance regarding the presentation of survival plots. Finally, it discusses the limitations of the Kaplan-Meier method and refers to other methods that better serve additional purposes.
- Subjects :
- Biometry
Diabetic Nephropathies mortality
Diabetic Nephropathies therapy
Humans
Kidney Diseases complications
Kidney Diseases mortality
Kidney Diseases therapy
Kidney Failure, Chronic etiology
Kidney Failure, Chronic mortality
Kidney Failure, Chronic therapy
Prognosis
Renal Replacement Therapy statistics & numerical data
Kaplan-Meier Estimate
Nephrology statistics & numerical data
Subjects
Details
- Language :
- English
- ISSN :
- 1523-1755
- Volume :
- 74
- Issue :
- 5
- Database :
- MEDLINE
- Journal :
- Kidney international
- Publication Type :
- Academic Journal
- Accession number :
- 18596735
- Full Text :
- https://doi.org/10.1038/ki.2008.217