Additive hazards regression with current status data
Additive hazards regression with current status data
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DOI：
10.1093/biomet/85.2.289
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发表时间：
1998-06-01
期刊：
影响因子：
2.7
通讯作者：
Ying, ZL
中科院分区：
文献类型：
--
作者：
Lin, DY;Oakes, D;Ying, ZL
当前状态数据出现时，唯一的知识有关的故障时间是之前或之后的随机监测时间发生故障。我们建议分析这样的数据的半参数加性风险模型，它指定的风险函数的故障时间与一组可能的时间依赖的协变量是一个任意的基线风险函数和协变量的回归函数的总和。在一定的监测时间条件下，可以利用常见的右删失比例风险模型的渐近理论和软件，对加性风险模型的回归参数进行推断。提供了致癌性实验的应用。
Current status data arise when the only knowledge about the failure time of interest is whether the failure occurs before or after a random monitoring time. We propose to analyse such data by the semiparametric additive hazards model, which specifies that the hazard function for the failure time associated with a set of possibly time-dependent covariates is the sum of an arbitrary baseline hazard function and a regression function of covariates. Under certain conditions on the monitoring time, one can make inferences about the regression parameters of the additive hazards model by using the familiar asymptotic theory and software for the proportional hazards model with right censored data. An application to a carcinogenicity experiment is provided.