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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2019
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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. |
format | Online Article Text |
id | pubmed-6849815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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