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[LAB13] A competing risks analysis should report results on all cause-specific hazards and cumulative incidence functions.

Revue Internationale avec comité de lecture : Journal Journal of clinical epidemiology, vol. 66(6), pp. 648-53, 2013, (doi:10.1016/j.jclinepi.2012.09.017)

Mots clés: Competing risks; Cumulative incidence; Endpoints; Bone marrow transplant; Proportional hazards; Survival analysis

Résumé: Competing risks endpoints are frequently encountered in hematopoietic stem cell transplantation where patients are exposed to relapse and treatment-related mortality. Both cause-specific hazards and direct models for the cumulative incidence functions have been used for analyzing such competing risks endpoints. For both approaches, the popular models are of a proportional hazards type. Such models have been used for studying prognostic factors in acute and chronic leukemias. We argue that a complete understanding of the event dynamics requires that both hazards and cumulative incidence be analyzed side by side, and that this is generally the most rigorous scientific approach to analyzing competing risks data. That is, understanding the effects of covariates on cause-specific hazards and cumulative incidence functions go hand in hand. A case study illustrates our proposal.

Commentaires: Version HAL http://hal.archives-ouvertes.fr/hal-00794995

Equipe: msdma
Collaboration: ,

BibTeX

@article {
LAB13,
title="{A competing risks analysis should report results on all cause-specific hazards and cumulative incidence functions.}",
author="A. Latouche and A. Allignol and J. Beyresmann and M. Labopin and J. Fine",
journal="Journal of clinical epidemiology",
year=2013,
volume=66,
number=6,
pages="648-53",
note="{Version HAL http://hal.archives-ouvertes.fr/hal-00794995}",
doi="10.1016/j.jclinepi.2012.09.017",
}