Cargando…

Comparison of different approaches to estimating age standardized net survival

BACKGROUND: Age-standardized net survival provides an important population-based summary of cancer survival that appropriately accounts for differences in other-cause mortality rates and standardizes the population age distribution to allow fair comparisons. Recently, there has been debate over the...

Descripción completa

Detalles Bibliográficos
Autores principales: Lambert, Paul C., Dickman, Paul W., Rutherford, Mark J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4537569/
https://www.ncbi.nlm.nih.gov/pubmed/26275405
http://dx.doi.org/10.1186/s12874-015-0057-3
_version_ 1782385909665103872
author Lambert, Paul C.
Dickman, Paul W.
Rutherford, Mark J.
author_facet Lambert, Paul C.
Dickman, Paul W.
Rutherford, Mark J.
author_sort Lambert, Paul C.
collection PubMed
description BACKGROUND: Age-standardized net survival provides an important population-based summary of cancer survival that appropriately accounts for differences in other-cause mortality rates and standardizes the population age distribution to allow fair comparisons. Recently, there has been debate over the most appropriate method for estimating this quantity, with the traditional Ederer II approach being shown to have potential bias. METHODS: We compare lifetable-based estimates (Ederer II), a new unbiased method based on inverse probability of censoring weights (Pohar Perme) and model-based estimates. We make the comparison in a simulation setting; generating scenarios where we would expect to see a large theoretical bias. RESULTS: Our simulations demonstrate that even in relatively extreme scenarios there is negligible bias in age-standardized net survival when using the age-standardized Ederer II method, modelling with continuous age or using the Pohar Perme method. However, both the Ederer II and modelling approaches have some advantages over the Pohar Perme method in terms of greater precision, particularly for longer-term follow-up (10 and 15 years). CONCLUSIONS: Our results show that, when age-standardizing, concern over bias with the traditional methods is unfounded. We have also shown advantages in using the more traditional and modelling methods. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12874-015-0057-3) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-4537569
institution National Center for Biotechnology Information
language English
publishDate 2015
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-45375692015-08-16 Comparison of different approaches to estimating age standardized net survival Lambert, Paul C. Dickman, Paul W. Rutherford, Mark J. BMC Med Res Methodol Research Article BACKGROUND: Age-standardized net survival provides an important population-based summary of cancer survival that appropriately accounts for differences in other-cause mortality rates and standardizes the population age distribution to allow fair comparisons. Recently, there has been debate over the most appropriate method for estimating this quantity, with the traditional Ederer II approach being shown to have potential bias. METHODS: We compare lifetable-based estimates (Ederer II), a new unbiased method based on inverse probability of censoring weights (Pohar Perme) and model-based estimates. We make the comparison in a simulation setting; generating scenarios where we would expect to see a large theoretical bias. RESULTS: Our simulations demonstrate that even in relatively extreme scenarios there is negligible bias in age-standardized net survival when using the age-standardized Ederer II method, modelling with continuous age or using the Pohar Perme method. However, both the Ederer II and modelling approaches have some advantages over the Pohar Perme method in terms of greater precision, particularly for longer-term follow-up (10 and 15 years). CONCLUSIONS: Our results show that, when age-standardizing, concern over bias with the traditional methods is unfounded. We have also shown advantages in using the more traditional and modelling methods. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12874-015-0057-3) contains supplementary material, which is available to authorized users. BioMed Central 2015-08-15 /pmc/articles/PMC4537569/ /pubmed/26275405 http://dx.doi.org/10.1186/s12874-015-0057-3 Text en © Lambert et al. 2015 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Lambert, Paul C.
Dickman, Paul W.
Rutherford, Mark J.
Comparison of different approaches to estimating age standardized net survival
title Comparison of different approaches to estimating age standardized net survival
title_full Comparison of different approaches to estimating age standardized net survival
title_fullStr Comparison of different approaches to estimating age standardized net survival
title_full_unstemmed Comparison of different approaches to estimating age standardized net survival
title_short Comparison of different approaches to estimating age standardized net survival
title_sort comparison of different approaches to estimating age standardized net survival
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4537569/
https://www.ncbi.nlm.nih.gov/pubmed/26275405
http://dx.doi.org/10.1186/s12874-015-0057-3
work_keys_str_mv AT lambertpaulc comparisonofdifferentapproachestoestimatingagestandardizednetsurvival
AT dickmanpaulw comparisonofdifferentapproachestoestimatingagestandardizednetsurvival
AT rutherfordmarkj comparisonofdifferentapproachestoestimatingagestandardizednetsurvival