León Larry F, Tsai Chih-Ling
Department of Biostatistics, Harvard University, Boston, MA 02115, USA.
Biometrics. 2004 Mar;60(1):75-84. doi: 10.1111/j.0006-341X.2004.00145.x.
We propose a new type of residual and an easily computed functional form test for the Cox proportional hazards model. The proposed test is a modification of the omnibus test for testing the overall fit of a parametric regression model, developed by Stute, González Manteiga, and Presedo Quindimil (1998, Journal of the American Statistical Association93, 141-149), and is based on what we call censoring consistent residuals. In addition, we develop residual plots that can be used to identify the correct functional forms of covariates. We compare our test with the functional form test of Lin, Wei, and Ying (1993, Biometrika80, 557-572) in a simulation study. The practical application of the proposed residuals and functional form test is illustrated using both a simulated data set and a real data set.
我们提出了一种新型残差以及一种用于Cox比例风险模型的易于计算的函数形式检验。所提出的检验是对由Stute、González Manteiga和Presedo Quindimil(1998年,《美国统计协会杂志》93卷,141 - 149页)开发的用于检验参数回归模型整体拟合度的综合检验的一种改进,并且基于我们所谓的删失一致残差。此外,我们开发了可用于识别协变量正确函数形式的残差图。在一项模拟研究中,我们将我们的检验与Lin、Wei和Ying(1993年,《生物统计学》80卷,557 - 572页)的函数形式检验进行了比较。使用一个模拟数据集和一个真实数据集说明了所提出的残差和函数形式检验的实际应用。