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Confidence bands in survival analysis
BACKGROUND: Providing estimates of uncertainty for statistical quantities is important for statistical inference. When the statistical quantity of interest is a survival curve, which is a function over time, the appropriate type of uncertainty estimate is a confidence band constructed to account for...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596446/ https://www.ncbi.nlm.nih.gov/pubmed/35986088 http://dx.doi.org/10.1038/s41416-022-01920-5 |
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author | Sachs, Michael C. Brand, Adam Gabriel, Erin E. |
author_facet | Sachs, Michael C. Brand, Adam Gabriel, Erin E. |
author_sort | Sachs, Michael C. |
collection | PubMed |
description | BACKGROUND: Providing estimates of uncertainty for statistical quantities is important for statistical inference. When the statistical quantity of interest is a survival curve, which is a function over time, the appropriate type of uncertainty estimate is a confidence band constructed to account for the correlation between points on the curve, we will call this a simultaneous confidence band. This, however, is not the type of confidence band provided in standard software, which is constructed by joining the confidence intervals at given time points. METHODS: We show that this type of band does not have desirable joint/simultaneous coverage properties in comparison to simultaneous bands. RESULTS: There are different ways of constructing simultaneous confidence bands, and we find that bands based on the likelihood ratio appear to have the most desirable properties. Although there is no standard software available in the three major statistical packages to compute likelihood-based simultaneous bands, we summarise and give code to use available statistical software to construct other simultaneous forms of bands, which we illustrate using a study of colon cancer. CONCLUSIONS: There is a need for more user-friendly statistical software to compute simultaneous confidence bands using the available methods. |
format | Online Article Text |
id | pubmed-9596446 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95964462022-10-27 Confidence bands in survival analysis Sachs, Michael C. Brand, Adam Gabriel, Erin E. Br J Cancer Article BACKGROUND: Providing estimates of uncertainty for statistical quantities is important for statistical inference. When the statistical quantity of interest is a survival curve, which is a function over time, the appropriate type of uncertainty estimate is a confidence band constructed to account for the correlation between points on the curve, we will call this a simultaneous confidence band. This, however, is not the type of confidence band provided in standard software, which is constructed by joining the confidence intervals at given time points. METHODS: We show that this type of band does not have desirable joint/simultaneous coverage properties in comparison to simultaneous bands. RESULTS: There are different ways of constructing simultaneous confidence bands, and we find that bands based on the likelihood ratio appear to have the most desirable properties. Although there is no standard software available in the three major statistical packages to compute likelihood-based simultaneous bands, we summarise and give code to use available statistical software to construct other simultaneous forms of bands, which we illustrate using a study of colon cancer. CONCLUSIONS: There is a need for more user-friendly statistical software to compute simultaneous confidence bands using the available methods. Nature Publishing Group UK 2022-08-19 2022-11-01 /pmc/articles/PMC9596446/ /pubmed/35986088 http://dx.doi.org/10.1038/s41416-022-01920-5 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sachs, Michael C. Brand, Adam Gabriel, Erin E. Confidence bands in survival analysis |
title | Confidence bands in survival analysis |
title_full | Confidence bands in survival analysis |
title_fullStr | Confidence bands in survival analysis |
title_full_unstemmed | Confidence bands in survival analysis |
title_short | Confidence bands in survival analysis |
title_sort | confidence bands in survival analysis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9596446/ https://www.ncbi.nlm.nih.gov/pubmed/35986088 http://dx.doi.org/10.1038/s41416-022-01920-5 |
work_keys_str_mv | AT sachsmichaelc confidencebandsinsurvivalanalysis AT brandadam confidencebandsinsurvivalanalysis AT gabrielerine confidencebandsinsurvivalanalysis |