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):28. doi: 10.1186/s44263-025-00140-2.
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: evaluating demographic variation, accounting for the complex sampling design, missing data and imputation, and meta-analysis. We provide a brief illustrative example of the demographic variation analyses using a measure of purpose in life from the GFS survey and conclude by outlining some strengths and limitations of the analytic and statistical methodology employed.
在本文中，我们描述了作为全球繁荣研究（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：评估人口统计学变异、考虑复杂抽样设计、缺失数据与插补以及荟萃分析。我们使用GFS调查中的生活目标量表提供了一个人口统计学变异分析的简要示例，并通过概述所采用的分析和统计方法的一些优点和局限性来得出结论。
