Multiple imputation to estimate the association between eyes in disease progression with interval-censored data.
Multiple imputation to estimate the association between eyes in disease progression with interval-censored data.
复制标题
通过多重插补来估计疾病进展中眼睛与区间删失数据之间的关联。
DOI：
10.1002/sim.1770
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发表时间：
2004
期刊：
影响因子：
--
通讯作者：
Rosner,Bernard
中科院分区：
文献类型：
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作者：
Glynn,RobertJ;Rosner,Bernard
在许多眼科研究中，糖尿病视网膜病变、年龄相关性黄斑病变、白内障和青光眼等疾病的进展只有在每只眼睛的检查时间间隔不同时才会被注意到。这些数据通常使用连续时间生存法进行分析，并假定观察到的进展发生在间隔结束时。在估计右眼和左眼进展之间的关联时，进展时间的限制会导致实质性的偏差。我们描述了一种基于从考虑连续和离散协变量的参数伽马脆弱性模型中绘制间隔截尾级数时间的多重输入策略，以创建没有联系的多个数据集。我们用478例胰岛素依赖型糖尿病患者的数据来说明该方法，这些患者在Sorbinil视网膜病变试验中随访糖尿病视网膜病变的进展。绑定故障时间的解决允许在给定另一只眼睛的进展状态的情况下，对一只眼睛进展的危险进行有效的估计。仿真研究表明，该方法具有良好的性能。结果表明，多重插值的优点是，在一个模型下输入的数据可以在多个替代模型下进行分析。版权所有©2004 John Wiley & Sons， Ltd
In many ophthalmologic studies, progression of diseases such as diabetic retinopathy, age‐related maculopathy, cataract, and glaucoma is only noted when each eye is examined at intervals that commonly vary between subjects. Such data are often analysed using continuous time survival methods with observed progression assumed to occur at the end of the interval. Tied times of progression can lead to substantial bias in estimation of the association between progression in right and left eyes. We describe a multiple imputation strategy to create multiple data sets without ties, based on drawing interval‐censored progression times from a parametric gamma frailty model that accounts for continuous and discrete covariates. We illustrate the method with data from 478 patients with insulin‐dependent diabetes mellitus who were followed for progression of diabetic retinopathy in the Sorbinil Retinopathy Trial. Resolution of tied failure times allows for valid estimation of the hazard of progression in one eye given the progression status of the other eye. A simulation study suggests that the method performs well. Results highlight the advantage of multiple imputation that data imputed under one model can be analysed under several alternative models. Copyright © 2004 John Wiley & Sons, Ltd.