使用删失数据回归模型估计平均生存函数。
Estimation of the average survival function using a censored data regression model.
作者信息
Kim J, Kim J
机构信息
Department of Applied Statistics, University of Suwon, Kyonggido, South Korea.
出版信息
Lifetime Data Anal. 2000 Mar;6(1):73-84. doi: 10.1023/a:1009618118421.
In the presence of covariates information, assuming the linear relationship between a transformation of survival time and covariates, we propose a new estimator of survival function and show its consistency. In addition, a comparison of the proposed estimator with the product-limit estimator introduced by Kaplan and Meier (1958) is performed through Monte Carlo simulation studies. We illustrate the proposed estimator with the updated Stanford heart transplant data.
在存在协变量信息的情况下，假设生存时间的变换与协变量之间存在线性关系，我们提出了一种新的生存函数估计量，并证明了其一致性。此外，通过蒙特卡罗模拟研究，将所提出的估计量与Kaplan和Meier（1958）引入的乘积限估计量进行了比较。我们用更新后的斯坦福心脏移植数据说明了所提出的估计量。
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