Adjusted survival curves with inverse probability weights
Adjusted survival curves with inverse probability weights
复制标题
DOI：
10.1016/j.cmpb.2003.10.004
复制
发表时间：
2004-07-01
影响因子：
6.1
通讯作者：
Hernán, MA
中科院分区：
文献类型：
--
作者：
Cole, SR;Hernán, MA
Kaplan-Meier 生存曲线和相关的非参数对数秩检验统计量是未调整生存分析的首选方法，半参数 Cox 比例风险回归模型普遍用作协变量调整方法。 Cox 模型自然地扩展到包含协变量，但没有普遍接受的方法来以图形方式描绘调整后的生存曲线。作者描述了一种方法，并提供了一个简单的示例，使用逆概率权重 (IPW) 创建调整后的生存曲线。当权重是非参数估计时，该方法相当于将生存曲线直接标准化为组合研究群体。 (C) 2003 Elsevier Ireland Ltd. 保留所有权利。
Kaplan-Meier survival curves and the associated nonparametric log rank test statistic are methods of choice for unadjusted survival analyses, white the semi-parametric Cox proportional hazards regression model is used ubiquitously as a method for covariate adjustment. The Cox model extends naturally to include covariates, but there is no generally accepted method to graphically depict adjusted survival curves. The authors describe a method and provide a simple worked example using inverse probability weights (IPW) to create adjusted survival curves. When the weights are non-parametrically estimated, this method is equivalent to direct standardization of the survival curves to the combined study population. (C) 2003 Elsevier Ireland Ltd. All rights reserved.