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具有双重删失数据的多变量生存分析:在进行性骨化性纤维发育不良的异维甲酸治疗评估中的应用。

Multivariate survival analysis with doubly-censored data: application to the assessment of Accutane treatment for fibrodysplasia ossificans progressiva.

作者信息

Jones Geoffrey, Rocke David M

机构信息

Department of Statistics, Massey University, Palmerston North, New Zealand.

出版信息

Stat Med. 2002 Sep 15;21(17):2547-62. doi: 10.1002/sim.1123.

Abstract

Fibrodysplasia ossificans progressiva is a rare genetic disorder in which the joints of patients become disabled by the formation of heterotopic bone. Data are available on the status of 11 joints of each of 21 patients before, during and after treatment with Accutane. These are compared with data obtained by questionnaire from 40 untreated patients to determine the efficacy of the treatment. Both left- and right-censoring are present in each group, which, together with the multivariate nature of the data and the time-dependent treatment covariate, makes analysis difficult. We consider two alternative parametric models for incorporating within-subject dependence: a marginal model and a frailty model. Both analyses suggest that Accutane treatment is effective. We discuss and illustrate the differences between the two approaches. We also discuss the extent to which the conclusions are compromised by the observational nature of the study.

摘要

进行性骨化性纤维发育不良是一种罕见的遗传性疾病,患者的关节会因异位骨的形成而致残。现有21例患者在使用异维甲酸治疗前、治疗期间和治疗后的11个关节状态数据。将这些数据与通过问卷调查从40例未治疗患者获得的数据进行比较,以确定治疗效果。每组数据均存在左删失和右删失情况,再加上数据的多变量性质以及随时间变化的治疗协变量,使得分析变得困难。我们考虑了两种纳入个体内相关性的替代参数模型:边际模型和脆弱模型。两种分析均表明异维甲酸治疗是有效的。我们讨论并阐述了两种方法之间的差异。我们还讨论了研究的观察性质在多大程度上影响了结论。

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