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Comparison of different approaches to estimating age standardized net survival

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posted on 2016-01-27, 10:41 authored by Paul Christopher Lambert, P. W. Dickman, Mark J. Rutherford
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.

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Citation

BMC Medical Research Methodology, 2015, 15 : 64

Author affiliation

/Organisation/COLLEGE OF MEDICINE, BIOLOGICAL SCIENCES AND PSYCHOLOGY/School of Medicine/Department of Health Sciences

Version

  • VoR (Version of Record)

Published in

BMC Medical Research Methodology

Publisher

BioMed Central

eissn

1471-2288

Acceptance date

2015-07-21

Available date

2016-01-27

Publisher version

http://bmcmedresmethodol.biomedcentral.com/articles/10.1186/s12874-015-0057-3

Language

en

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