Article
Wild bootstrap confidence bands for the cumulative incidence function in Fine-Gray models
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Published: | February 26, 2021 |
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We consider the Fine and Gray model in the competing risks setting with censoring-complete data. The goal is to construct confidence bands for the cumulative incidence function using the wild bootstrap. In order to verify the underlying theory we use elegant and general martingale arguments. Especially for small samples, the flexibility of the wild bootstrap procedure with possibly non-normal multipliers seems preferable over a Gaussian approximation because the latter is only aiming at the asymptotic distribution. The performance of the wild bootstrap confidence bands with respect to different types of multipliers and weight functions is empirically studied by means of simulations. In addition, we illustrate the developed method by investigating the impact of Pneumonia for intensive care unit patients on the probabilities of alive discharge competing with hospital death.
The authors declare that they have no competing interests.
The authors declare that an ethics committee vote is not required.