This paper presents a class of graphical and numerical techniques to check the overall fitting adequacy of the marginal additive hazards model to multivariate current status data. The proposed testing methods are based on the supremum of the stochastic processes derived from the cumulative sum of martingale-based residuals over time and covariates. The distributions of the proposed stochastic processes can be approximated via a simulation technique. A series of simulation studies are conducted to assess the finite-sample performance of the proposed methods. An application to a data set from a tumorigenicity study is provided.

中文翻译：

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具有多变量当前状态数据的加性危害模型的模型检验方法

本文提出了一类图形和数字技术，以检查边际附加危害模型对多变量当前状态数据的总体拟合程度。所提出的测试方法是基于随机过程的最高值，该随机过程是基于时间和协变量的基于ting的残差的累积总和而得出的。所提出的随机过程的分布可以通过模拟技术来近似。进行了一系列模拟研究，以评估所提出方法的有限样本性能。提供了来自致瘤性研究的数据集的应用。