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The wild bootstrap for multivariate Nelson–Aalen estimators

We rigorously extend the widely used wild bootstrap resampling technique to the multivariate Nelson–Aalen estimator under Aalen’s multiplicative intensity model. Aalen’s model covers general Markovian multistate models including competing risks subject to independent left-truncation and right-censor...

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Detalles Bibliográficos
Autores principales: Bluhmki, Tobias, Dobler, Dennis, Beyersmann, Jan, Pauly, Markus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6323102/
https://www.ncbi.nlm.nih.gov/pubmed/29512005
http://dx.doi.org/10.1007/s10985-018-9423-x
Descripción
Sumario:We rigorously extend the widely used wild bootstrap resampling technique to the multivariate Nelson–Aalen estimator under Aalen’s multiplicative intensity model. Aalen’s model covers general Markovian multistate models including competing risks subject to independent left-truncation and right-censoring. This leads to various statistical applications such as asymptotically valid confidence bands or tests for equivalence and proportional hazards. This is exemplified in a data analysis examining the impact of ventilation on the duration of intensive care unit stay. The finite sample properties of the new procedures are investigated in a simulation study. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10985-018-9423-x) contains supplementary material, which is available to authorized users.