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Updated: Jun 25, 2025

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
A method for determining groups in cumulative incidence curves in competing risk data
Marta Sestelo1,2, Luís Meira-Machado3, Nora M Villanueva2
1CITMAga, 15782, Santiago de Compostela, Spain.
Abstract:
The cumulative incidence function is the standard method for estimating the marginal probability of a given event in the presence of competing risks. One basic but important goal in the analysis of competing risk data is the comparison of these curves, for which limited literature exists. We proposed a new procedure that lets us not only test the equality of these curves but also group them if they are not equal. The proposed method allows determining the composition of the groups as well as an automatic selection of their number. Simulation studies show the good numerical behavior of the proposed methods for finite sample size. The applicability of the proposed method is illustrated using real data.
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