On Estimation in Relative Survival
Top Cited Papers
- 20 June 2011
- journal article
- Published by Oxford University Press (OUP) in Biometrics
- Vol. 68 (1), 113-120
- https://doi.org/10.1111/j.1541-0420.2011.01640.x
Abstract
Estimation of relative survival has become the first and the most basic step when reporting cancer survival statistics. Standard estimators are in routine use by all cancer registries. However, it has been recently noted that these estimators do not provide information on cancer mortality that is independent of the national general population mortality. Thus they are not suitable for comparison between countries. Furthermore, the commonly used interpretation of the relative survival curve is vague and misleading. The present article attempts to remedy these basic problems. The population quantities of the traditional estimators are carefully described and their interpretation discussed. We then propose a new estimator of net survival probability that enables the desired comparability between countries. The new estimator requires no modeling and is accompanied with a straightforward variance estimate. The methods are described on real as well as simulated data.Keywords
This publication has 24 references indexed in Scilit:
- Age-standardisation of relative survival ratios of cancer patients in a comparison between countries, genders and time periodsEuropean Journal Of Cancer, 2009
- EUROCARE-4. Survival of cancer patients diagnosed in 1995–1999. Results and commentaryEuropean Journal Of Cancer, 2009
- Cancer survival in five continents: a worldwide population-based study (CONCORD)The Lancet Oncology, 2008
- An approach to estimation in relative survival regressionBiostatistics, 2008
- Dynamic regression hazards models for relative survivalStatistics in Medicine, 2008
- Flexible parametric models for relative survival, with application in coronary heart diseaseStatistics in Medicine, 2007
- Competing RisksPublished by Wiley ,2005
- An alternative approach to age adjustment of cancer survival ratesEuropean Journal Of Cancer, 2004
- Regression models for relative survivalStatistics in Medicine, 2003
- On long-term relative survival ratesJournal of Chronic Diseases, 1977