论文标题
解释的添加危害模型下的变化
Explained Variation under the Additive Hazards Model
论文作者
论文摘要
我们研究了右芯数据的添加危害回归模型下的解释变化。我们考虑了开发这种度量的不同方法，并专注于估计协变量解释的故障时间变化比例的方法。我们通过分析和广泛的模拟研究了该度量的特性。我们将该量度应用于众所周知的生存数据集以及链接的监视，流行病学和最终结果（SEER） - Medicare数据库，用于使用高维索赔代码的早期前列腺癌患者预测死亡率的死亡率。
We study explained variation under the additive hazards regression model for right-censored data. We consider different approaches for developing such a measure, and focus on one that estimates the proportion of variation in the failure time explained by the covariates. We study the properties of the measure both analytically, and through extensive simulations. We apply the measure to a well-known survival data set as well as the linked Surveillance, Epidemiology and End Results (SEER)-Medicare database for prediction of mortality in early-stage prostate cancer patients using high dimensional claims codes.
