Analytic methodology for childhood predictor analyses for wave 1 of the Global Flourishing Study.

R Noah Padgett, Matt Bradshaw, Ying Chen, Richard G Cowden, Sung Joon Jang, Eric S Kim, Koichiro Shiba, Byron R Johnson, Tyler J VanderWeele
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Abstract

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.

全球繁荣研究第一波儿童预测分析的分析方法。
在本文中,我们描述了作为全球繁荣研究(GFS)第一波协调手稿的一部分的人口统计学变异分析的统计和设计方法。涉及的方面包括:儿童预测因素回归分析,复杂抽样设计的核算,缺失数据和imputation,未测量混杂和荟萃分析的敏感性分析。我们提供了一个使用GFS调查中的掌握感构建指标进行童年预测分析的简短示例,并概述了所采用方法的一些优势和局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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