评估功能数据一致性的非缩放指数
1Department of Statistics and Data Science, Yonsei University, Seoul, Republic of Korea.
Biometrical journal. Biometrische Zeitschrift
|February 19, 2025
概括
评估医疗器械协议至关重要. 本研究引入了新的指数 (总偏差指数和覆盖概率),以评估来自多种测量方法的功能数据的可靠性和可重复性.
科学领域:
- 生物统计学 生物统计学
- 医学成像分析 医学成像分析
- 卫生技术评估 卫生技术评估
背景情况:
- 采用新的医疗器械需要严格验证临床测量可靠性和可重复性.
- 高科技医疗器械产生的功能数据需要强大的方法来评估不同测量技术之间的一致性.
研究的目的:
- 建立现代高科技医疗器械的有效性和可接受性,产生功能数据.
- 引入新的指数,以评估相同主题的不同方法/技术/计量器测量的多个功能数据的一致性.
- 开发方法来划分内部方法,间方法和总协议的趋势随时间推移.
主要方法:
- 引入非缩放指数:总偏差指数 (TDI) 和覆盖概率 (CP),它们是时间的函数.
- 开发具有标量值的TDI和CP指数,使用加权平均来总结整个领域的协议.
- 使用双变的多级函数线性混合效应模型来表达基于平均函数和方差元件的指数.
- 采用双变量多级函数主要组件分析,通过单变量共变函数的自身分析进行顺的指数估计.
主要成果:
- 拟议的指数 (TDI和CP) 可以在原始测量尺度上划出内部方法,方法间方法和总协议的趋势.
- 标量值指数提供了对整个数据域的共识总结.
- 功能主要组件分析方法确保了高效和可扩展的估计.
- 模拟研究证实了拟议估计器的有限样本特性.
结论:
- 开发的指数和方法为评估医疗器械功能数据的可靠性和可重复性提供了严格的框架.
- 这种方法适用于各种高科技医疗成像设备,例如用于尿路尿路检测脏阻塞的尿路尿路检测.
- 这项工作通过确保测量的一致性和有效性,有助于基于证据的先进医疗技术的采用.
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