O'Keeffe Aidan G, Tom Brian D M, Farewell Vernon T
Medical Research Council Biostatistics Unit Cambridge, UK.
J R Stat Soc Ser C Appl Stat. 2011 Nov;60(5):675-699. doi: 10.1111/j.1467-9876.2011.01021.x.
In psoriatic arthritis, permanent joint damage characterizes disease progression and represents a major debilitating aspect of the disease. Understanding the process of joint damage will assist in the treatment and disease management of patients. Multistate models provide a means to examine patterns of disease, such as symmetric joint damage. Additionally, the link between damage and the dynamic course of disease activity (represented by joint swelling and stress pain) at both the individual joint level and otherwise can be represented within a correlated multistate model framework. Correlation is reflected through the use of random effects for progressive models and robust variance estimation for non-progressive models. Such analyses, undertaken with data from a large psoriatic arthritis cohort, are discussed and the extent to which they permit causal reasoning is considered. For this, emphasis is given to the use of the Bradford Hill criteria for causation in observational studies and the concept of local (in)dependence to capture the dynamic nature of the relationships.
在银屑病关节炎中,永久性关节损伤是疾病进展的特征,也是该疾病导致机体衰弱的主要方面。了解关节损伤过程将有助于对患者进行治疗和疾病管理。多状态模型提供了一种检查疾病模式的方法,比如对称性关节损伤。此外,在个体关节水平及其他情况下,损伤与疾病活动动态过程(以关节肿胀和压痛表示)之间的联系可以在相关多状态模型框架内呈现。相关性通过在渐进模型中使用随机效应以及在非渐进模型中使用稳健方差估计来体现。本文讨论了基于大型银屑病关节炎队列数据进行的此类分析,并考虑了它们进行因果推理的程度。为此,重点介绍了在观察性研究中使用布拉德福德·希尔因果标准以及利用局部(非)独立性概念来把握关系的动态本质。