Department of Clinical Medicine, Aalborg University, Aalborg, Denmark.
Department of Haematology, Aalborg University Hospital, Aalborg, Denmark.
BMC Med Res Methodol. 2020 Dec 11;20(1):304. doi: 10.1186/s12874-020-01182-w.
To assess the agreement of continuous measurements between a number of observers, Jones et al. introduced limits of agreement with the mean (LOAM) for multiple observers, representing how much an individual observer can deviate from the mean measurement of all observers. Besides the graphical visualisation of LOAM, suggested by Jones et al., it is desirable to supply LOAM with confidence intervals and to extend the method to the case of multiple measurements per observer.
We reformulate LOAM under the assumption the measurements follow an additive two-way random effects model. Assuming this model, we provide estimates and confidence intervals for the proposed LOAM. Further, this approach is easily extended to the case of multiple measurements per observer.
The proposed method is applied on two data sets to illustrate its use. Specifically, we consider agreement between measurements regarding tumour size and aortic diameter. For the latter study, three measurement methods are considered.
The proposed LOAM and the associated confidence intervals are useful for assessing agreement between continuous measurements.
为了评估多个观察者之间连续测量的一致性，Jones 等人引入了均值限制协议（LOAM），用于表示单个观察者相对于所有观察者的平均测量值的偏差程度。除了 Jones 等人建议的 LOAM 的图形可视化之外，还希望为 LOAM 提供置信区间，并将该方法扩展到每个观察者多次测量的情况。
我们在假设测量值遵循可加双向随机效应模型的前提下重新制定 LOAM。假设这种模型，我们为所提出的 LOAM 提供估计值和置信区间。此外，这种方法很容易扩展到每个观察者多次测量的情况。
该方法应用于两个数据集来说明其使用。具体来说，我们考虑了肿瘤大小和主动脉直径测量值之间的一致性。对于后者的研究，考虑了三种测量方法。
所提出的 LOAM 和相关的置信区间可用于评估连续测量值之间的一致性。
