微随机试验中缺少的数据:挑战和机遇
Shiyu Zhang1, John J Dziak2, Lizbeth Benson2
1Institute for Social Research, University of Michigan, 426 Thompson St, Ann Arbor, Michigan, 48104, USA. zsy@umich.edu.
Behavior research methods
|November 14, 2025
概括
微随机试验 (MRT) 中缺少的数据挑战了即时适应性干预 (JITAI) 的发展. 这项研究提供了一个框架来管理缺失的数据,改善JITAI设计和实施数字健康干预措施.
科学领域:
- 数字健康数字健康
- 行为科学 行为科学
- 临床试验 临床试验
背景情况:
- 实时适应性干预 (JITAI) 利用数字技术实时提供心理支持.
- 微随机试验 (MRT) 对于优化JITAI设计和促进行为改变至关重要.
- 缺少的数据对JITAI开发MRT的有效性和实用性构成重大挑战.
研究的目的:
- 为了确定MRT研究中缺少数据的来源.
- 分析缺失数据对偏差,差异和JITAI实施的影响.
- 提出减少和处理MRT中缺少数据的策略.
主要方法:
- 概念框架的发展.
- 分析缺失的数据源及其影响.
- 使用移动辅助调控吸烟 (MARS) 研究数据的插图.
主要成果:
- 缺失的数据可能来自MRT的各种来源.
- 缺失的数据可以引入偏见,并增加试验结果的差异.
- 需要有效的策略来缓解和管理缺失的数据.
结论:
- 解决缺失的数据对于强大的JITAI研究至关重要.
- 管理缺失数据的积极框架将指导未来的MRT调查.
- 这项工作旨在加强数字心理干预措施的开发和实施.
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