Prediction of cancer incidence in the Nordic countries: empirical comparison of different approaches
Article first published online: 19 AUG 2003
Copyright © 2003 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 22, Issue 17, pages 2751–2766, 15 September 2003
How to Cite
Møller, B., Fekjær, H., Hakulinen, T., Sigvaldason, H., Storm, H. H., Talbäck, M. and Haldorsen, T. (2003), Prediction of cancer incidence in the Nordic countries: empirical comparison of different approaches. Statist. Med., 22: 2751–2766. doi: 10.1002/sim.1481
- Issue published online: 19 AUG 2003
- Article first published online: 19 AUG 2003
- Manuscript Accepted: DEC 2002
- Manuscript Received: JAN 2002
- Nordic Cancer Union
- cancer incidence;
- age-period-cohort model;
Prediction of the future number of cancer cases is of great interest to society. The classical approach is to use the age-period-cohort model for making cancer incidence predictions. We made an empirical comparison of different versions of this model, using data from cancer registries in the Nordic countries for the period 1958–1997. We have applied 15 different methods to 20 sites for each sex in Denmark, Finland, Norway and Sweden. Median absolute value of the relative difference between observed and predicted numbers of cases for these 160 combinations of site, sex and country was calculated. The medians varied between 10.4 per cent and 15.3 per cent in predictions 10 years ahead, and between 15.1 per cent and 32.0 per cent for 20 year predictions. We have four main conclusions: (i) projecting current trends worked better than assuming that future rates are equal to present rates; (ii) the method based on the multiplicative APC model often overestimated the number of cancer cases due to its exponential growth over time, but using a power function to level off this growth improved the predictions; (iii) projecting only half of the trend after the first 10 years also gave better long-term predictions; (iv) methods that emphasize trends in the last decade seem to perform better than those that include earlier time trends. Copyright © 2003 John Wiley & Sons, Ltd.