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Haematologica. 2014 Sep;99(9):1410-20. doi: 10.3324/haematol.2013.100784.

Survival analysis in hematologic malignancies: recommendations for clinicians.

Author information

1
Department of Hematology, Hospital Clínic, IDIBAPS, Barcelona jdelgado@clinic.ub.es.
2
Hematopathology Unit, Hospital Clínic, IDIBAPS, Barcelona.
3
Deparment of Hemostasis and Hemotherapy, Hospital Clínic, IDIBAPS, Barcelona.
4
Department of Hematology, Hospital Clínic, IDIBAPS, Barcelona.
5
Josep Carreras Leukemia Research Institute, Hospital Clínic, Barcelona, Spain.

Abstract

The widespread availability of statistical packages has undoubtedly helped hematologists worldwide in the analysis of their data, but has also led to the inappropriate use of statistical methods. In this article, we review some basic concepts of survival analysis and also make recommendations about how and when to perform each particular test using SPSS, Stata and R. In particular, we describe a simple way of defining cut-off points for continuous variables and the appropriate and inappropriate uses of the Kaplan-Meier method and Cox proportional hazard regression models. We also provide practical advice on how to check the proportional hazards assumption and briefly review the role of relative survival and multiple imputation.

PMID:
25176982
PMCID:
PMC4562529
DOI:
10.3324/haematol.2013.100784
[Indexed for MEDLINE]
Free PMC Article

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