title: Local influence for the subdistribution of a competing risk.
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.
authors.affiliation: Département de Biostatistique et Informatique Médicale, Hôpital Saint-Louis, Université Paris 7, Inserm U717, Paris, France. matthieu.resche-rigon@paris7.jussieu.fr
authors.forename: Matthieu
authors.initials: M
authors.lastname: Resche-Rigon
authors.forename: Sylvie
authors.initials: S
authors.lastname: Chevret
mesh_terms: D000970:Antineoplastic Agents / Q000008:administration & dosage / Q000627:therapeutic use; D017326:Clinical Trials, Phase III as Topic / Q000379:methods; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D006801:Humans; D015473:Leukemia, Promyelocytic, Acute / Q000628:therapy; D008954:Models, Biological; D016016:Proportional Hazards Models; D012008:Recurrence; D012307:Risk Factors; D014212:Tretinoin / Q000008:administration & dosage / Q000627:therapeutic use
chemical_list: D000970:Antineoplastic Agents; D014212:Tretinoin