Choosing the relative survival method for cancer survival estimation |
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Authors: | Hakulinen Timo Seppä Karri Lambert Paul C |
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Affiliation: | a Finnish Cancer Registry, Institute for Statistical and Epidemiological Cancer Research, Pieni Roobertinkatu 9, FI-00130 Helsinki, Finland b Department of Mathematical Sciences, University of Oulu, Oulu, Finland c Department of Health Sciences, Centre for Biostatistics and Genetic Epidemiology, University of Leicester, 2nd Floor, Adrian Building, University Road, Leicester LE1 7RH, UK d Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden |
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Abstract: |
BackgroundThe methods on how to calculate cumulative relative survival have been ambiguous and have given differences in empirical results.MethodsThe gold standard for the cumulative relative survival ratio is the weighted average of age-specific cumulative relative survival ratios, with weights proportional to numbers of patients at diagnosis. Mathematics and representative empirical materials from the population-based Finnish Cancer Registry were studied for the different relative survival methods and compared with the gold standard.ResultsThe theoretical and empirical results show a good agreement between the method suggested in 1959 by Ederer and Heise (the so-called Ederer II method) and the gold standard. This result is in part due the fact that as follow-up time increases the conditional (annual) relative survival ratios become increasingly more independent of age. Moreover, the dependence between the excess mortality due to cancer and the baseline general mortality does not introduce an important enough selection in practice to cause a notable bias.ConclusionThe use of the method by Ederer and Heise, multiplication of the annual relative survival ratios, instead of direct standardisation, should be considered in future applications. This would be particularly important for the long-term follow-up when age-specific relative survival is not available in the oldest age categories. |
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Keywords: | Epidemiologic methods Models Neoplasms Prognosis Survival Age standardisation |
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