纵向轨迹建模中损耗加权调整的作用：一项模拟研究
The Role of Weighting Adjustment for Attrition in Longitudinal Trajectory Modeling: A Simulation Study.
作者信息
West Brady T, Si Yajuan, Hu Yueying, McCabe Sean E, Veliz Phil
机构信息
Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor; Department of Biostatistics, University of Michigan, Ann Arbor; Center for the Study of Drugs, Alcohol, Smoking and Health, Department of Health Behavior and Biological Sciences, School of Nursing, University of Michigan, Ann Arbor.
Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor; Department of Biostatistics, University of Michigan, Ann Arbor.
出版信息
Commun Stat Simul Comput. 2025;54(3):866-888. doi: 10.1080/03610918.2024.2362923. Epub 2024 Jun 7.
Most longitudinal surveys construct weights and release wave-specific weights to adjust for attrition. However, there is no clear consensus in the literature on whether or how to apply weights in longitudinal trajectory modeling. We present a simulation study, motivated by a real-life longitudinal study of substance use, and consider different missing data mechanisms, weight construction processes, and specifications of substantive models of interest. Based on the results of the simulation study, we provide practical recommendations for analysts of longitudinal survey data with respect to weighting approaches that should be considered in alternative scenarios.
大多数纵向调查都会构建权重并发布特定波次的权重，以调整样本流失问题。然而，对于在纵向轨迹建模中是否应用权重以及如何应用权重，文献中尚无明确的共识。我们开展了一项模拟研究，该研究受一项关于物质使用的实际纵向研究启发，并考虑了不同的缺失数据机制、权重构建过程以及感兴趣的实质性模型的设定。基于模拟研究的结果，我们针对纵向调查数据的分析人员，就不同场景下应考虑的加权方法提供了实用建议。
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