Robust approaches for the analysis of agreement between clinical measurements: development of guidance and software tools for researchers

分析临床测量之间一致性的稳健方法：为研究人员开发指南和软件工具

• 批准号: MR/X029301/1
• 负责人: Richard Parker
• 金额: $ 40.17万
• 依托单位: University of Edinburgh
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=MR%2FX029301%2F1
• 关键词: Robust; approaches; analysis; agreement; between

Agreement studies are concerned with assessing how closely two different methods or devices agree in their measurements of the same variable. For example, an agreement study may wish to compare two devices for measuring blood pressure, and if the measurements from the two devices are sufficiently close to each other, we can conclude that the two devices agree. There are many different statistical approaches that can be used to assess agreement, but not all of them are valid in every context, and some are not valid in any context. In this project, we wish to review the recent literature to investigate the methods that have been used by researchers for assessing agreement in practice. We will also develop a new method for assessing agreement that we expect will be suitable for when data does not follow the unusual pattern. We will thoroughly test this new method against standard approaches, as well as evaluate other newly developed agreement methods that have been put forward by other researchers in the last few years. In addition, we will develop software tools so that researchers can easily use the new approaches, as well as standard methods. Finally, we will publicise all of our research findings so that they are readily accessible by the research community. One of the main aims of this project is to promote the use of valid methods to assess agreement, and prevent any wrong applications of agreement methods, which could lead to inferior devices, medical procedures, or data collection methods being used in patients.

协议研究涉及评估两种不同的方法或设备在同一变量的测量中如何吻合。例如，一项协议研究可能希望比较两种测量血压的设备，如果两个设备的测量彼此足够接近，我们可以得出结论，这两个设备同意。可以使用许多不同的统计方法来评估协议，但并非所有统计方法在每种情况下都是有效的，有些在任何情况下均无效。在该项目中，我们希望回顾最近的文献，以调查研究人员在实践中评估协议已使用的方法。我们还将开发一种评估协议的新方法，我们期望在数据不遵循异常模式时适合。我们将对标准方法进行彻底测试这种新方法，并评估过去几年其他研究人员提出的其他新开发的协议方法。此外，我们将开发软件工具，以便研究人员可以轻松地使用新方法以及标准方法。最后，我们将宣传所有研究结果，以便研究界很容易访问它们。该项目的主要目的之一是促进使用有效方法来评估协议的使用，并防止协议方法的任何错误应用，这可能导致患者使用的设备，医疗程序或数据收集方法。