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The wild bootstrap for multivariate Nelson-Aalen estimators.
Bluhmki, Tobias; Dobler, Dennis; Beyersmann, Jan; Pauly, Markus.
Afiliação
  • Bluhmki T; Institute of Statistics, Ulm University, Helmholtzstrasse 20, 89081, Ulm, Germany.
  • Dobler D; Department of Mathematics, Vrije Universiteit Amsterdam, De Boelelaan 1081a, 1081 HV, Amsterdam, The Netherlands. d.dobler@vu.nl.
  • Beyersmann J; Institute of Statistics, Ulm University, Helmholtzstrasse 20, 89081, Ulm, Germany.
  • Pauly M; Institute of Statistics, Ulm University, Helmholtzstrasse 20, 89081, Ulm, Germany.
Lifetime Data Anal ; 25(1): 97-127, 2019 01.
Article em En | MEDLINE | ID: mdl-29512005
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.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação por Computador / Modelos de Riscos Proporcionais / Análise Multivariada / Estatísticas não Paramétricas Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação por Computador / Modelos de Riscos Proporcionais / Análise Multivariada / Estatísticas não Paramétricas Tipo de estudo: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2019 Tipo de documento: Article