针对协变量缺失的Cox比例风险模型的多重填补法。
Multiple imputation for the Cox proportional hazards model with missing covariates.
作者信息
Paik M C
机构信息
Division of Biostatistics, Columbia University, New York, New York 10032, USA.
出版信息
Lifetime Data Anal. 1997;3(3):289-98. doi: 10.1023/a:1009657116403.
PMID:9384657
Abstract
We present three multiple imputation estimates for the Cox model with missing covariates. Two of the suggested estimates are asymptotically equivalent to estimates in the literature when the number of multiple imputations approaches infinity. The third estimate can be implemented using standard software that could handle time-varying covariates.
摘要
我们针对具有缺失协变量的Cox模型给出了三种多重填补估计。当多重填补的数量趋于无穷大时，其中两种建议估计在渐近意义上等同于文献中的估计。第三种估计可以使用能够处理随时间变化协变量的标准软件来实现。
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