Population-based monitoring of cancer patient survival in situations with imperfect completeness of cancer registration

Selective underascertainment of cases may bias estimates of cancer patient survival. We show that the magnitude of potential bias strongly depends on the time periods affected by underascertainment and on the type of survival analysis (cohort analysis vs period analysis). We outline strategies on ho...

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Detalles Bibliográficos
Autores principales: Brenner, H, Hakulinen, T
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 2005
Materias:
Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2362075/
https://www.ncbi.nlm.nih.gov/pubmed/15655546
http://dx.doi.org/10.1038/sj.bjc.6602323
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author Brenner, H
Hakulinen, T
author_facet Brenner, H
Hakulinen, T
author_sort Brenner, H
collection PubMed
description Selective underascertainment of cases may bias estimates of cancer patient survival. We show that the magnitude of potential bias strongly depends on the time periods affected by underascertainment and on the type of survival analysis (cohort analysis vs period analysis). We outline strategies on how to minimise or overcome potential biases.
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spelling pubmed-23620752009-09-10 Population-based monitoring of cancer patient survival in situations with imperfect completeness of cancer registration Brenner, H Hakulinen, T Br J Cancer Epidemiology Selective underascertainment of cases may bias estimates of cancer patient survival. We show that the magnitude of potential bias strongly depends on the time periods affected by underascertainment and on the type of survival analysis (cohort analysis vs period analysis). We outline strategies on how to minimise or overcome potential biases. Nature Publishing Group 2005-02-14 2005-01-18 /pmc/articles/PMC2362075/ /pubmed/15655546 http://dx.doi.org/10.1038/sj.bjc.6602323 Text en Copyright © 2005 Cancer Research UK https://creativecommons.org/licenses/by/4.0/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 https://creativecommons.org/licenses/by/4.0/.
spellingShingle Epidemiology
Brenner, H
Hakulinen, T
Population-based monitoring of cancer patient survival in situations with imperfect completeness of cancer registration
title Population-based monitoring of cancer patient survival in situations with imperfect completeness of cancer registration
title_full Population-based monitoring of cancer patient survival in situations with imperfect completeness of cancer registration
title_fullStr Population-based monitoring of cancer patient survival in situations with imperfect completeness of cancer registration
title_full_unstemmed Population-based monitoring of cancer patient survival in situations with imperfect completeness of cancer registration
title_short Population-based monitoring of cancer patient survival in situations with imperfect completeness of cancer registration
title_sort population-based monitoring of cancer patient survival in situations with imperfect completeness of cancer registration
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2362075/
https://www.ncbi.nlm.nih.gov/pubmed/15655546
http://dx.doi.org/10.1038/sj.bjc.6602323
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