具有观察水平随机效应、移动者-滞留者效应和动态协变量的离散多状态模型：银屑病关节炎研究中的转换强度和逗留时间建模
Clustered multi-state models with observation-level random effects, mover-stayer effects and dynamic covariates: Modelling transition intensities and sojourn times in a study of psoriatic arthritis
摘要：
在银屑病关节炎中，重要的是要了解关节活动（以肿胀和疼痛为代表）和损伤过程，因为两者都与严重的身体残疾有关。本文的目的是提供一个全面的调查，这两个过程发生随着时间的推移，特别是他们的关系，通过指定一个联合多状态模型在个人的手关节水平，这也占了他们的许多重要功能。由于存在多个手部关节，因此这种分析将基于使用聚类多状态模型。在这里，我们考虑一个观察水平的随机效应结构与动态协变量，并允许的可能性，一个亚群的患者是在最小的损害风险。这样的分析被认为提供了进一步的了解活动损害的关系超出了以前的分析提供。考虑到平均逗留时间和跳跃概率的建模。特别是，提出了一种新的模型参数化，它可以很容易地解释协变量的影响，这些数量的作用。
英文摘要：
In psoriatic arthritis, it is important to understand the joint activity (represented by swelling and pain) and damage processes because both are related to severe physical disability. This paper aims to provide a comprehensive investigation in to both processes occurring over time, in particular their relationship, by specifying a joint multi-state model at the individual hand joint-level, which also accounts for many of their important features. As there are multiple hand joints, such an analysis will be based on the use of clustered multi-state models. Here we consider an observation-level random effects structure with dynamic covariates and allow for the possibility that a subpopulation of patients are at minimal risk of damage. Such an analysis is found to provide further understanding of the activity-damage relationship beyond that provided by previous analyses. Consideration is also given to the modelling of mean sojourn times and jump probabilities. In particular, a novel model parameterization which allows easily interpretable covariate effects to act on these quantities is proposed.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
