重复测量四象限图的一致率
Concordance Rate of a Four-Quadrant Plot for Repeated Measurements
摘要：
新的临床测量方法在临床实践中实施前，必须确认其结果是否与现有方法的结果等效。使用四象限图评价这些方法之间的趋势一致性，该图描述了连续时间点两种测量方法值的每个差异的变化趋势，以及该图的一致率，该一致率使用四象限图中与该趋势一致的数据点之和除以所有可接受数据点的数量计算。然而，传统的一致率没有考虑个体受试者数据之间的协方差，这可能会影响其正确评价。因此，我们提出了一个新的一致率，由每个人根据同意的数量计算。此外，该方法还可以设置一个参数，即两种测量技术之间的最小一致数。该参数可以提供对一致程度的更详细的解释。数值模拟进行了几个因素表明，所提出的方法导致更准确的评估。我们还展示了一个真实的数据，并比较了所提出的方法与传统的方法。然后，我们总结了在临床研究中的实施的讨论。
英文摘要：
Before new clinical measurement methods are implemented in clinical practice, it must be confirmed whether their results are equivalent to those of existing methods. The agreement of the trend between these methods is evaluated using the four-quadrant plot, which describes the trend of change in each difference of the two measurement methods' values in sequential time points, and the plot's concordance rate, which is calculated using the sum of data points in the four-quadrant plot that agree with this trend divided by the number of all accepted data points. However, the conventional concordance rate does not consider the covariance between the data on individual subjects, which may affect its proper evaluation. Therefore, we proposed a new concordance rate calculated by each individual according to the number of agreement. Moreover, this proposed method can set a parameter that the minimum concordant number between two measurement techniques. The parameter can provide a more detailed interpretation of the degree of agreement. A numerical simulation conducted with several factors indicated that the proposed method resulted in a more accurate evaluation. We also showed a real data and compared the proposed method with the conventional approach. Then, we concluded the discussion with the implementation in clinical studies.
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。
