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Determining relative importance in Stata using dominance analysis: domin and domme
The Stata Journal: Promoting communications on statistics and Stata ( IF 3.2 ) Pub Date : 2021-06-29 , DOI: 10.1177/1536867x211025837
Joseph N. Luchman 1
Affiliation  

Dominance analysis is a common method applied to statistical models to determine the importance of independent variables. In this article, I describe two community-contributed commands, domin and domme, that can be used to dominance-analyze both independent variables and parameter estimates in Stata estimation commands. I discuss how to compute dominance statistics, provide multiple examples of each command applied to data, and outline how to interpret the results from each data-analytic example. I conclude with computational considerations for users applying larger models.



中文翻译:

使用优势分析确定 Stata 中的相对重要性:domin 和 domme

优势分析是一种应用于统计模型的常用方法,用于确定自变量的重要性。在这篇文章中,我描述了两个社区贡献的命令,DOMINdomme,可用于主导地位,分析在Stata估计命令既独立变量和参数估计。我将讨论如何计算优势统计数据,提供应用于数据的每个命令的多个示例,并概述如何解释每个数据分析示例的结果。我总结了应用更大模型的用户的计算注意事项。

更新日期:2021-06-30
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