布兰德-阿尔特曼情节方法在没有推断准确性,精度和一致性的情况下是否有用?
Paulo Sergio Panse Silveira1, Joaquim Edson Vieira2, José de Oliveira Siqueira1
1Universidade de São Paulo. Faculdade de Medicina. Departamento de Patologia. São Paulo, SP, Brasil.
Revista de saude publica
|February 21, 2024
概括
本研究引入了一种新的三步统计框架,作为评估测量技术等价性,提高客观性和识别错误来源的布兰德-阿尔特曼图谱的替代方案.
科学领域:
- 生物统计学 生物统计学
- 测量科学 测量科学 测量科学
- 统计建模 统计建模
背景情况:
- 布兰德-阿尔特曼图表被广泛用于评估测量技术之间的一致性,但由于缺乏强大的推断统计数据,经常被误解.
- 像皮尔森相关性或线性回归这样的现有替代方法无法充分识别测量技术的弱点.
研究的目的:
- 提出一个全面的统计框架,作为评估测量技术等效性的布兰德-阿尔特曼图的替代方案.
- 引入一种创新的三步方法来评估技术之间的准确性,精度和一致性,提高客观性.
- 开发一个用户友好的R包,用于高效地分析和解释技术等价值.
主要方法:
- 基于结构回归的三步嵌套推断统计方法被开发出来.
- 该方法评估结构介质的等价性 (准确性),结构差异性 (精度) 和与结构截面线 (协议) 的一致性.
- 采用分析方法和强大的引导方法,并使用符合Bland-Altman原则的图形输出来补充.
主要成果:
- 拟议的方法使用使用使用布兰德-阿尔特曼方法的研究中的五个数据集进行了验证.
- 分析显示了一个严格等价的情况,三个部分等价的情况和一个差等价的情况.
- 一个包含开放代码和数据的R包是研究人员可以免费使用的.
结论:
- 布兰德-阿尔特曼图表方法,尽管它很容易沟通,但由于缺少推断统计支持,经常被误解.
- 拟议的方法保留了图形通信原则,同时结合了可靠的推断统计数据来进行等价性测试.
- 将等价性分解为准确性,精度和一致性有助于在开发新测量技术时确定问题.
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