负二项式混合效应定位尺度模型用于强度纵向计数类型的可穿戴设备提供的体育活动数据
Qianheng Ma1, Genevieve F Dunton2, Donald Hedeker3
1Department of Psychiatry and Behavioral Sciences, Stanford University, Palo Alto, CA 94304, United States.
Biometrics
|July 31, 2025
概括
可穿戴设备提供详细的身体活动 (PA) 数据. 我们提出了一个统计模型来分析PA的平均值和可变性,从活动计数中改善健康洞察力.
科学领域:
- 生物医学工程 生物医学工程
- 公共卫生 公共卫生
- 统计 统计 统计 统计
背景情况:
- 像加速度计这样的可穿戴设备越来越多地用于精确的身体活动 (PA) 追踪.
- PA数据,如步骤和中度至强度PA (MVPA) 分钟,是关键的健康指标,通常记录为计数.
- 纵向PA数据允许对平均PA水平和活动模式的个体变化进行建模.
研究的目的:
- 引入一种能够分析密集的纵向PA计数数据的统计模型.
- 为了考虑到PA的平均水平和分散 (变化) 的个体差异.
- 通过结合障碍或零膨胀元件来解决PA数据中多余的零的常见问题.
主要方法:
- 为PA计数数据开发负二项式混合效应位置尺度模型.
- 模型的应用以捕捉PA在受试者之间的平均值和分散的异质性.
- 将模型扩展到障碍/零膨胀版本,以管理PA测量中的过度零点.
主要成果:
- 拟议的位置尺度模型有效地捕捉了PA平均值和分散的变化.
- 障碍/零膨胀扩展成功模拟了非零PA水平的概率.
- 这种方法可以更全面地了解个别的PA模式.
结论:
- 负双项混合效应位置尺度模型为分析可穿戴式音响数据提供了一个强大的框架.
- 考虑到分散异质性和多余的零值,可以提高PA模式建模的准确性.
- 这种方法可以根据个体活动概况提供更个性化的健康建议.
更多相关视频
11:21Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
Published on: July 27, 2018
8.3K
05:59Visualization of Intensity Levels to Reduce the Gap Between Self-Reported and Directly Measured Physical Activity
Published on: March 7, 2019
6.8K
相关概念视频
Mechanistic Models: Compartment Models in Individual and Population Analysis
87
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
87
Longitudinal Research
12.5K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.5K
Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving
101
Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...
101
