Methods Inf Med 1992; 31(03): 210-214
DOI: 10.1055/s-0038-1634871
Original Article
Schattauer GmbH

Application of Adjusted Survival Curves to Renal Transplant Data

U. Grouven
1   Department of Abdominal and Transplantation Surgery, Hannover Medical School, Germany
R. Bender
2   Department of Anesthesiology, Hannover Medical School, Germany
A. Schultz
2   Department of Anesthesiology, Hannover Medical School, Germany
R. Pichlmayr
1   Department of Abdominal and Transplantation Surgery, Hannover Medical School, Germany
› Author Affiliations
Further Information

Publication History

Publication Date:
08 February 2018 (online)


An important means in the analysis of survival time data is the estimation and graphical representation of survival probabilities. In this paper unifactorial parametric and non-parametric survival curve estimators and two types of adjusted survival curves based on a parametric multifactorial approach are applied to renal transplant data. It is shown that the resulting survival curves can differ substantially. The unifactorial survival curves yield biased results in case of serious disequilibrium in the data. This drawback of the unifactorial methods has been overcome by the use of adjusted survival curves which take possible distortions in the data set into account. The benefits of adjusted survival curves in assessing potentially prognostic factors are elucidated by the application to data from renal transplantation.


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