Flexible parametric models for relative survival, with application in coronary heart disease
Flexible parametric models for relative survival, with application in coronary heart disease
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DOI：
10.1002/sim.3064
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发表时间：
2007-12-30
影响因子：
2
通讯作者：
Jones, David R.
中科院分区：
文献类型：
--
作者：
Nelson, Christopher P.;Lambert, Paul C.;Jones, David R.
相对生存率经常用于基于人群的研究，作为估计疾病相关死亡率的方法，而不需要死因信息。我们提出了 Royston 和 Parmar 提出的针对审查生存数据的灵活参数模型的相对生存的扩展。该模型通过在对数累积超额危险尺度上使用限制三次样条，提供相对生存率和超额死亡率的平滑估计。与一些采用分段方法的更标准的相对生存模型相比，该方法有几个优点，主要是能够在连续尺度上对时间进行建模，生存函数和风险函数是通过分析获得的，并且不使用分时数据。版权所有 (C) 2007 John Wiley & Sons, Ltd.
Relative survival is frequently used in population-based studies as a method for estimating disease-related mortality without the need for information on cause of death. We propose an extension to relative survival of a flexible parametric model proposed by Royston and Parmar for censored survival data. The model provides smooth estimates of the relative survival and excess mortality rates by using restricted cubic splines on the log cumulative excess hazard scale. The approach has several advantages over some of the more standard relative survival models, which adopt a piecewise approach, the main being the ability to model time on a continuous scale, the survival and hazard functions are obtained analytically and it does not use split-time data. Copyright (C) 2007 John Wiley & Sons, Ltd.