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Updated: Jul 20, 2026

Establishing a Competing Risk Regression Nomogram Model for Survival Data
Published on: October 23, 2020
[Relative survival computation. Comparison of methods for estimating expected survival]
Ramón Clèries1, Josepa Ribes, Víctor Moreno
1Servei d'Epidemiologia i Registre del Càncer, Institut Català d'Oncologia, L'Hospitalet de Llobregat, Barcelona, España. r.cleries@iconcologia.net
Abstract:
Relative survival is the most commonly used method to determine survival in patients diagnosed with cancer. This method takes into account estimation of expected survival in cancer patients based on the observed mortality in the geographical area to which they belong. The most frequently used methods for estimation of expected survival are the Ederer (I and II) and Hakulinen methods. Survival tables for the geographical areas stratified by age and calendar year are required for these calculations. The present article presents an example of how to perform these estimations and how to choose the most appropriate method for the type of analysis to be performed. This article shows that if the follow-up of the cohort is less than 10 years, any of these methods should give similar results. However, the Hakulinen method is preferred, since it accounts for heterogeneity due to potential withdrawals.
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