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Confidence bands for multiplicative hazards models: Flexible resampling approaches

We propose new resampling‐based approaches to construct asymptotically valid time‐simultaneous confidence bands for cumulative hazard functions in multistate Cox models. In particular, we exemplify the methodology in detail for the simple Cox model with time‐dependent covariates, where the data may...

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Detalles Bibliográficos
Autores principales: Dobler, Dennis, Pauly, Markus, Scheike, ThomasH.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849815/
https://www.ncbi.nlm.nih.gov/pubmed/30985914
http://dx.doi.org/10.1111/biom.13059
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author Dobler, Dennis
Pauly, Markus
Scheike, ThomasH.
author_facet Dobler, Dennis
Pauly, Markus
Scheike, ThomasH.
author_sort Dobler, Dennis
collection PubMed
description We propose new resampling‐based approaches to construct asymptotically valid time‐simultaneous confidence bands for cumulative hazard functions in multistate Cox models. In particular, we exemplify the methodology in detail for the simple Cox model with time‐dependent covariates, where the data may be subject to independent right‐censoring or left‐truncation. We use simulations to investigate their finite sample behavior. Finally, the methods are utilized to analyze two empirical examples with survival and competing risks data.
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spelling pubmed-68498152019-11-15 Confidence bands for multiplicative hazards models: Flexible resampling approaches Dobler, Dennis Pauly, Markus Scheike, ThomasH. Biometrics Biometric Methodology We propose new resampling‐based approaches to construct asymptotically valid time‐simultaneous confidence bands for cumulative hazard functions in multistate Cox models. In particular, we exemplify the methodology in detail for the simple Cox model with time‐dependent covariates, where the data may be subject to independent right‐censoring or left‐truncation. We use simulations to investigate their finite sample behavior. Finally, the methods are utilized to analyze two empirical examples with survival and competing risks data. John Wiley and Sons Inc. 2019-04-17 2019-09 /pmc/articles/PMC6849815/ /pubmed/30985914 http://dx.doi.org/10.1111/biom.13059 Text en © 2019 International Biometric Society This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Biometric Methodology
Dobler, Dennis
Pauly, Markus
Scheike, ThomasH.
Confidence bands for multiplicative hazards models: Flexible resampling approaches
title Confidence bands for multiplicative hazards models: Flexible resampling approaches
title_full Confidence bands for multiplicative hazards models: Flexible resampling approaches
title_fullStr Confidence bands for multiplicative hazards models: Flexible resampling approaches
title_full_unstemmed Confidence bands for multiplicative hazards models: Flexible resampling approaches
title_short Confidence bands for multiplicative hazards models: Flexible resampling approaches
title_sort confidence bands for multiplicative hazards models: flexible resampling approaches
topic Biometric Methodology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6849815/
https://www.ncbi.nlm.nih.gov/pubmed/30985914
http://dx.doi.org/10.1111/biom.13059
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