Bayesian analysis of recurrent event with dependent termination: an application to a heart transplant study.

Bayesian analysis of recurrent event with dependent termination: an application to a heart transplant study.
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DOI:
10.1002/sim.5717
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发表时间:
2013-07-10
影响因子:
2
通讯作者:
Van Bakel AB
Van Bakel AB
中科院分区:
医学3区
文献类型:
--
作者:
Ouyang B;Sinha D;Slate EH;Van Bakel AB

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对于心脏移植患者,移植排斥反应的风险和死亡风险可能是相关的。两个完全指定的贝叶斯模型与依赖终止复发事件的调查这两种类型的风险之间的潜在关系,以及与风险因素。我们特别关注先验的选择,选择适当的预测模型,以及针对个体患者的这两种风险的预测方法。我们的预测工具可以很容易地实现,并有助于医生设置心脏移植患者的活检时间表。
For a heart transplant patient, the risk of graft rejection and risk of death are likely to be associated. Two fully specified Bayesian models for recurrent events with dependent termination are applied to investigate the potential relationships between these two types of risk as well as association with risk factors. We particularly focus on the choice of priors, selection of the appropriate prediction model, and prediction methods for these two types of risk for an individual patient. Our prediction tools can be easily implemented and helpful to physicians for setting heart transplant patients' biopsy schedule.
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