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Understanding Between-Person Interventions With Time-Intensive Longitudinal Outcome Data: Longitudinal Mediation Analyses.
Annals of Behavioral Medicine ( IF 3.6 ) Pub Date : 2020-09-05 , DOI: 10.1093/abm/kaaa066
Corina Berli 1 , Jennifer Inauen 2 , Gertraud Stadler 3, 4 , Urte Scholz 1, 5 , Patrick E Shrout 6
Affiliation  

Mediation analysis is an important tool for understanding the processes through which interventions affect health outcomes over time. Typically the temporal intervals between X, M, and Y are fixed by design, and little focus is given to the temporal dynamics of the processes.

中文翻译:


通过时间密集型纵向结果数据了解人与人之间的干预:纵向中介分析。



中介分析是了解干预措施随时间影响健康结果的过程的重要工具。通常,X、M 和 Y 之间的时间间隔是通过设计固定的,并且很少关注过程的时间动态。
更新日期:2020-09-10
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