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Prognosis of cancer survivors: estimation based on differential equations

We present a method for estimating several prognosis parameters for cancer survivors. The method utilizes the fact that these parameters solve differential equations driven by cumulative hazards. By expressing the parameters as solutions to differential equations, we develop generic estimators that...

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Detalles Bibliográficos
Autores principales: Ryalen, Pål C, Møller, Bjørn, Laache, Christoffer H, Stensrud, Mats J, Røysland, Kjetil
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102890/
https://www.ncbi.nlm.nih.gov/pubmed/34557893
http://dx.doi.org/10.1093/biostatistics/kxab009
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author Ryalen, Pål C
Møller, Bjørn
Laache, Christoffer H
Stensrud, Mats J
Røysland, Kjetil
author_facet Ryalen, Pål C
Møller, Bjørn
Laache, Christoffer H
Stensrud, Mats J
Røysland, Kjetil
author_sort Ryalen, Pål C
collection PubMed
description We present a method for estimating several prognosis parameters for cancer survivors. The method utilizes the fact that these parameters solve differential equations driven by cumulative hazards. By expressing the parameters as solutions to differential equations, we develop generic estimators that are easy to implement with standard statistical software. We explicitly describe the estimators for prognosis parameters that are often employed in practice, but also for parameters that, to our knowledge, have not been used to evaluate prognosis. We then apply these parameters to assess the prognosis of five common cancers in Norway.
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spelling pubmed-101028902023-04-15 Prognosis of cancer survivors: estimation based on differential equations Ryalen, Pål C Møller, Bjørn Laache, Christoffer H Stensrud, Mats J Røysland, Kjetil Biostatistics Article We present a method for estimating several prognosis parameters for cancer survivors. The method utilizes the fact that these parameters solve differential equations driven by cumulative hazards. By expressing the parameters as solutions to differential equations, we develop generic estimators that are easy to implement with standard statistical software. We explicitly describe the estimators for prognosis parameters that are often employed in practice, but also for parameters that, to our knowledge, have not been used to evaluate prognosis. We then apply these parameters to assess the prognosis of five common cancers in Norway. Oxford University Press 2021-09-24 /pmc/articles/PMC10102890/ /pubmed/34557893 http://dx.doi.org/10.1093/biostatistics/kxab009 Text en © The Author 2021. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Ryalen, Pål C
Møller, Bjørn
Laache, Christoffer H
Stensrud, Mats J
Røysland, Kjetil
Prognosis of cancer survivors: estimation based on differential equations
title Prognosis of cancer survivors: estimation based on differential equations
title_full Prognosis of cancer survivors: estimation based on differential equations
title_fullStr Prognosis of cancer survivors: estimation based on differential equations
title_full_unstemmed Prognosis of cancer survivors: estimation based on differential equations
title_short Prognosis of cancer survivors: estimation based on differential equations
title_sort prognosis of cancer survivors: estimation based on differential equations
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10102890/
https://www.ncbi.nlm.nih.gov/pubmed/34557893
http://dx.doi.org/10.1093/biostatistics/kxab009
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