Calculating age-adjusted cancer survival estimates when age-specific data are sparse: an empirical evaluation of various methods

We evaluated empirically the performance of various methods of calculating age-adjusted survival estimates when age-specific data are sparse. We have illustrated that a recently proposed alternative method of age adjustment involving the use of balanced age groups or age truncation may be useful for...

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Autores principales: Gondos, A, Parkin, D M, Chokunonga, E, Brenner, H
Formato: Texto
Lenguaje:English
Publicado: Nature Publishing Group 2006
Materias:
Epidemiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2361143/
https://www.ncbi.nlm.nih.gov/pubmed/16434986
http://dx.doi.org/10.1038/sj.bjc.6602976
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author Gondos, A
Parkin, D M
Chokunonga, E
Brenner, H
author_facet Gondos, A
Parkin, D M
Chokunonga, E
Brenner, H
author_sort Gondos, A
collection PubMed
description We evaluated empirically the performance of various methods of calculating age-adjusted survival estimates when age-specific data are sparse. We have illustrated that a recently proposed alternative method of age adjustment involving the use of balanced age groups or age truncation may be useful for enhancing calculability and reliability of adjusted survival estimates.
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spelling pubmed-23611432009-09-10 Calculating age-adjusted cancer survival estimates when age-specific data are sparse: an empirical evaluation of various methods Gondos, A Parkin, D M Chokunonga, E Brenner, H Br J Cancer Epidemiology We evaluated empirically the performance of various methods of calculating age-adjusted survival estimates when age-specific data are sparse. We have illustrated that a recently proposed alternative method of age adjustment involving the use of balanced age groups or age truncation may be useful for enhancing calculability and reliability of adjusted survival estimates. Nature Publishing Group 2006-02-13 2006-01-24 /pmc/articles/PMC2361143/ /pubmed/16434986 http://dx.doi.org/10.1038/sj.bjc.6602976 Text en Copyright © 2006 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
Gondos, A
Parkin, D M
Chokunonga, E
Brenner, H
Calculating age-adjusted cancer survival estimates when age-specific data are sparse: an empirical evaluation of various methods
title Calculating age-adjusted cancer survival estimates when age-specific data are sparse: an empirical evaluation of various methods
title_full Calculating age-adjusted cancer survival estimates when age-specific data are sparse: an empirical evaluation of various methods
title_fullStr Calculating age-adjusted cancer survival estimates when age-specific data are sparse: an empirical evaluation of various methods
title_full_unstemmed Calculating age-adjusted cancer survival estimates when age-specific data are sparse: an empirical evaluation of various methods
title_short Calculating age-adjusted cancer survival estimates when age-specific data are sparse: an empirical evaluation of various methods
title_sort calculating age-adjusted cancer survival estimates when age-specific data are sparse: an empirical evaluation of various methods
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2361143/
https://www.ncbi.nlm.nih.gov/pubmed/16434986
http://dx.doi.org/10.1038/sj.bjc.6602976
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