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Updated: Jan 12, 2026

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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移动健康中的个人内部和个人之间的合规性:在密集的纵向观测研究中对非随机失踪的联合建模方法

Young Won Cho1, Sy-Miin Chow1, Jixin Li2

  • 1Department of Human Development and Family Studies, The Pennsylvania State University, University Park, PA, United States.

JMIR mHealth and uHealth
|October 30, 2025
PubMed
概括

联合建模有效地解决了移动健康 (mHealth) 和无处不在的健康 (uHealth) 研究中缺少的数据,通过解开人与人之间的因素. 这种方法提高了从密集的纵向数据推断健康行为推断的准确性.

关键词:
数字健康数字健康数字干预是指数字干预.强烈的纵向数据密集.联合模型 联合模型纵向数据 纵向数据 纵向数据移动健康 移动健康 移动健康 移动健康缺失的数据 缺失的数据移动健康的移动健康智能手表 智能手表

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