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贝叶斯中介分析。

Bayesian mediation analysis.

机构信息

Department of Biostatistics, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA.

出版信息

Psychol Methods. 2009 Dec;14(4):301-22. doi: 10.1037/a0016972.

Abstract

In this article, we propose Bayesian analysis of mediation effects. Compared with conventional frequentist mediation analysis, the Bayesian approach has several advantages. First, it allows researchers to incorporate prior information into the mediation analysis, thus potentially improving the efficiency of estimates. Second, under the Bayesian mediation analysis, inference is straightforward and exact, which makes it appealing for studies with small samples. Third, the Bayesian approach is conceptually simpler for multilevel mediation analysis. Simulation studies and analysis of 2 data sets are used to illustrate the proposed methods. (PsycINFO Database Record (c) 2009 APA, all rights reserved).

摘要

在本文中,我们提出了中介效应的贝叶斯分析。与传统的频率派中介分析相比,贝叶斯方法有几个优势。首先,它允许研究人员将先验信息纳入中介分析中,从而潜在地提高估计的效率。其次,在贝叶斯中介分析中,推断是直接和精确的,这使得它对小样本研究很有吸引力。第三,贝叶斯方法对于多层次中介分析在概念上更为简单。模拟研究和两个数据集的分析用于说明所提出的方法。(PsycINFO 数据库记录 (c) 2009 APA,保留所有权利)。

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