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Updated: Aug 6, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
Local influence for the subdistribution of a competing risk
Matthieu Resche-Rigon1, Sylvie Chevret
1Département de Biostatistique et Informatique Médicale, Hôpital Saint-Louis, Université Paris 7, Inserm U717, Paris, France. matthieu.resche-rigon@paris7.jussieu.fr
Abstract:
Local influence measures have been shown to be a useful tool in identifying influential individuals, and assessing model behaviour towards small perturbations. In the setting of competing risks, we developed a measure of local influence for the Fine and Gray model for the subdistribution hazard. The plot of local influence showed some relationship with time failure rank. This was illustrated on a real data set from a randomized clinical trial in acute promyelocytic leukaemia and on a simulation study.
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