在测试-重新测试曲线测量的类内相关系数的置信度集
Mohammad Reza Seydi1, Alessia Pini2, Todd C Pataky3
1Department of Statistics, Umeå School of Business, Economics and Statistics, Umeå University, Umeå, Sweden.
Journal of biomechanics
|August 1, 2024
概括
这项研究引入了新的方法来测量连续生物力学数据的可靠性,例如移动期间的关节角度. 这些技术提供了更好的方法来报告曲线级可靠性的不确定性,这对于准确的研究结果至关重要.
科学领域:
- 生物力学 生物力学
- 可靠性分析可靠性分析
- 统计方法 统计方法
背景情况:
- 试验复试可靠性对于验证生物力学研究至关重要.
- 对于连续曲线数据,缺乏用于标量数据可靠性的既定方法.
- 曲线层级的类内相关系数 (ICC) 不确定性报告缺乏生物力学中的标准化指南.
研究的目的:
- 研究用于构建曲线级ICC (ICC曲线和集成ICC) 的信心集的方法.
- 为ICC曲线信任波段和集成的ICC信任区间提出和验证非参数引导技术.
- 为了评估一腿跳跃着陆期间膝盖动力学的测试-重新测试可靠性.
主要方法:
- 开发了非参数引导技术,用于ICC曲线的置信区和集成的ICC置信区间.
- 蒙特卡洛模拟用于验证各种效果大小和曲线特征的拟议方法.
- 在单腿跳跃着陆期间,应用了分析膝盖运动的方法,在三个平面上.
主要成果:
- 对于评估曲线水平的ICC不确定性,已经验证了引导方法.
- 与其他平面相比,前面平面的膝盖动力学显示了ICC曲线和集成ICC的不确定性较小.
- 对于整个时间域,建议使用基于等级的启动链的置信带,而对于总结指标,建议使用集成的ICC与正常分布启动链.
结论:
- 该研究提供了验证的方法来量化曲线水平ICC中的不确定性.
- 基于排名的引导带信心带为整体曲线分析提供了准确和有效的结果.
- 集成的ICC与正常发行启动链提供稳定而准确的汇总指标可靠性.
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