Padgett R Noah, Bradshaw Matt, Chen Ying, Cowden Richard G, Jang Sung Joon, Kim Eric S, Shiba Koichiro, Johnson Byron R, VanderWeele Tyler J
Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
Human Flourishing Program, Harvard University, Cambridge, MA, USA.
BMC Glob Public Health. 2025 Apr 30;3(1):29. doi: 10.1186/s44263-025-00142-0.
In this article, we describe the statistical and design methodology of the demographic variation analyses used as part of a coordinated set of manuscripts for wave 1 of the Global Flourishing Study (GFS). Aspects covered include the following: childhood predictors regression analyses, accounting for the complex sampling design, missing data and imputation, sensitivity analysis for unmeasured confounding and meta-analysis. We provide a brief illustrative example of the childhood predictor analyses using the sense of mastery construct indicator from the GFS survey and conclude by outlining some strengths and limitations of the methodology employed.
在本文中,我们描述了作为全球幸福研究(GFS)第一波协调稿件集一部分的人口统计学变异分析的统计和设计方法。涵盖的方面包括:儿童期预测因素回归分析、考虑复杂抽样设计、缺失数据和插补、未测量混杂因素的敏感性分析以及荟萃分析。我们使用GFS调查中的掌握感构建指标提供了一个儿童期预测因素分析的简要说明性示例,并通过概述所采用方法的一些优点和局限性来结束本文。