Perme Maja Pohar, Stare Janez, Estève Jacques
Department of Biostatistics and Medical Informatics, University of Ljubljana, Ljubljana, Slovenia.
Biometrics. 2012 Mar;68(1):113-20. doi: 10.1111/j.1541-0420.2011.01640.x. Epub 2011 Jun 20.
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.
在报告癌症生存统计数据时，相对生存估计已成为首要且最基本的步骤。所有癌症登记处都在常规使用标准估计器。然而，最近人们注意到，这些估计器无法提供独立于国家总体人口死亡率的癌症死亡率信息。因此，它们不适用于国家间的比较。此外，相对生存曲线的常用解释模糊且具有误导性。本文试图解决这些基本问题。我们仔细描述了传统估计器的总体数量，并讨论了它们的解释。然后，我们提出了一种新的净生存概率估计器，它能够实现国家间所需的可比性。新估计器无需建模，并伴有直接的方差估计。我们在真实数据和模拟数据上描述了这些方法。
