多类型复发事件间隔时间下可加危险率模型

The Additive Hazards Model for Multiple Type Recurrent Gap Times

  • 摘要: 在许多的生物医学和工程研究中, 多类型复发事件的间隔时间数据是很常见的. 众所周知, 比例危险率模型在一些情况下不能很好拟合生存数据. 本文, 在多类型复发事件的间隔时间数据下, 我们利用可加危险率模型来研究协变量对生存时间的影响程度. 我们采用估计方程方法获得回归系数和基准累积危险率函数估计. 并且, 我们建立了所提估计的渐近分布.

     

    Abstract: In many biomedical and engineering studies, recurrent event data and gap times between successive events are common and often more than one type of recurrent events is of interest. It is well known that the proportional hazards model may not be appropriate for fitting survival times in some settings. In the paper, we consider an additive hazards model for multiple type recurrent gap times data to assess the effect of covariates. For inferences about regression coefficients and baseline cumulative hazard functions, an estimating equation approach is developed. Furthermore, we establish asymptotic properties of the proposed estimators.

     

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