Modelling relative survival using transformation methods.
Modelling relative survival using transformation methods.
复制标题
使用转换方法对相对生存进行建模。
DOI：
10.1002/sim.1832
复制
发表时间：
2004
期刊：
影响因子：
--
通讯作者：
Manatunga,AmitaK
中科院分区：
文献类型：
--
作者：
Price,DionneL;Manatunga,AmitaK
在癌症临床试验中，患者存活率通常被评估为治疗有效性的量度。相对存活率是对其他死亡原因影响进行校正后的患者存活率的测量。我们将一个附加的风险模型的整体力量的死亡率集中注意力的形式的基础疾病的过程。考虑了描述疾病过程的原因特异性风险率的转换模型。我们展示了一种方法，用于估计变换参数提供洞察到适当的选择模型结构。该模型包括加法和乘法结构作为特殊情况。我们在广义线性模型框架中编写模型，并通过现有的统计软件证明拟合的容易性。该方法适用于霍奇金病的数据集，以评估临床试验结果对人群生存的影响。我们的分析得出结论，乘法结构提供了一个更适当的描述数据相比，加法结构。版权所有© 2004约翰威利父子有限公司
Patient survival is often assessed as a measure of effectiveness of treatment in cancer clinical trials. The relative survival rate is a measure of patient survival corrected for the effect of other causes of death. We incorporate an additive hazards model for the overall force of mortality focusing attention on the form of the underlying disease process. Transformation models for the cause‐specific hazard rate describing the disease process are considered. We demonstrate a method for estimating the transformation parameter providing insight into the appropriate choice of model structure. The models include the additive and multiplicative structures as special cases. We write the models in the generalized linear model framework and demonstrate ease of fitting via existing statistical software. The methodology is applied to a Hodgkin's disease data set to assess the effect of clinical trial results on population survival. Our analysis concludes that the multiplicative structure provides a more appropriate description of the data as compared to the additive structure. Copyright © 2004 John Wiley & Sons, Ltd.