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首页> 外文期刊>Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice >A simulation procedure based on copulas to generate clustered multi-state survival data
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A simulation procedure based on copulas to generate clustered multi-state survival data

机译：基于copula的聚类多状态生存数据模拟程序

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摘要

Generating survival data with a clustered and multi-state structure is useful to study finite sample properties of multi-state models, competing risks models and frailty models. We propose a simulation procedure based on a copula model for each competing events block, allowing to introduce dependence between times of different transitions and between those of grouped subjects. The effect of simulated frailties and covariates can be added in a proportional hazards way.In order to mimic information from real data, we also propose a method for the tuning of parameters via numerical minimization of a criterion function based on the ratios of target and observed values of median times and of probabilities of competing events.An example is provided on simulation of data mimicking those from a multicenter study on head and neck cancer, where the interest is in studying both time to local relapses and to distant metastases before death. The results demonstrated that data simulated according to our proposed method have characteristics very close to the target values. ? 2012 Elsevier Ireland Ltd.
机译：具有聚类和多状态结构的生存数据的生成对于研究多状态模型，竞争风险模型和脆弱模型的有限样本属性很有用。我们为每个竞争事件块提出了一个基于copula模型的仿真程序，允许引入不同过渡时间之间以及分组对象之间的依赖关系。可以按比例风险的方式添加模拟脆弱和协变量的影响。为了模仿真实数据中的信息，我们还提出了一种基于目标与观测值之比的准则函数的数值最小化来调整参数的方法中位时间和竞争事件概率的数值。提供了一个模拟数据的示例，该数据模仿了一项有关头颈癌的多中心研究的数据，该研究的重点是研究局部复发和死亡前远处转移的时间。结果表明，根据我们提出的方法模拟的数据具有非常接近目标值的特征。 ？ 2012爱思唯尔爱尔兰有限公司

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