Score and deviance residuals based on the full likelihood approach in survival analysis.
Score and deviance residuals based on the full likelihood approach in survival analysis.
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DOI：
10.1002/pst.2047
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发表时间：
2020-11
影响因子：
1.5
通讯作者：
Liu A
中科院分区：
文献类型：
--
作者：
Halabi S;Dutta S;Wu Y;Liu A
在比例风险模型和无信息截尾的假设下，利用完全似然方法得到两个新的残差。第一种残差是基于获得记分型残差时使用的思想，类似于偏似然方法。第二种残差是基于偏差残差的概念。通过大量的仿真，比较了完全似然方法和部分似然方法的残差性能。我们通过仿真研究表明，当截尾比例较高时，完全似然残差比部分似然残差更能有效地识别潜在的离群点。文中用图解技术举例说明了这些残差的应用。
Assuming the proportional hazards model and non-informative censoring, the full likelihood approach is used to obtain two new residuals. The first residual is based on the ideas used in obtaining score-type residuals similar to the partial likelihood approach. The second type of residual is based on the concept of deviance residuals. Extensive simulations are conducted to compare the performance of the residuals from the full likelihood based approach with those of the partial likelihood method. We demonstrate through simulation studies that the full likelihood based residuals are more efficient than their partial likelihood counterpart in identifying potential outliers when the censoring proportion is high. The graphical techniques are used to illustrate the applications of these residuals using some examples.