Lambert Paul C, Thompson John R, Weston Claire L, Dickman Paul W
Department of Health Sciences, Centre for Biostatistics and Genetic Epidemiology, University of Leicester, 22-28 Princess Road West, Leicester LE1 6TP, UK.
Biostatistics. 2007 Jul;8(3):576-94. doi: 10.1093/biostatistics/kxl030. Epub 2006 Oct 4.
In population-based cancer studies, cure is said to occur when the mortality (hazard) rate in the diseased group of individuals returns to the same level as that expected in the general population. The cure fraction (the proportion of patients cured of disease) is of interest to patients and is a useful measure to monitor trends in survival of curable disease. There are 2 main types of cure fraction model, the mixture cure fraction model and the non-mixture cure fraction model, with most previous work concentrating on the mixture cure fraction model. In this paper, we extend the parametric non-mixture cure fraction model to incorporate background mortality, thus providing estimates of the cure fraction in population-based cancer studies. We compare the estimates of relative survival and the cure fraction between the 2 types of model and also investigate the importance of modeling the ancillary parameters in the selected parametric distribution for both types of model.
在基于人群的癌症研究中，当患病个体组的死亡率（风险率）恢复到与一般人群预期水平相同时，就认为实现了治愈。治愈比例（治愈疾病的患者比例）是患者关注的焦点，也是监测可治愈疾病生存趋势的一项有用指标。治愈比例模型主要有两种类型，即混合治愈比例模型和非混合治愈比例模型，以往的大多数研究都集中在混合治愈比例模型上。在本文中，我们扩展了参数化非混合治愈比例模型，以纳入背景死亡率，从而在基于人群的癌症研究中提供治愈比例的估计值。我们比较了这两种模型类型下相对生存率和治愈比例的估计值，并研究了在所选参数分布中对两种模型类型的辅助参数进行建模的重要性。
