半偏相关系数的p值计算方法。

IF 0.5 Q4 STATISTICS & PROBABILITY
Seongho Kim
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引用次数: 1

摘要

偏相关系数和半偏相关系数的p值计算方法由Cohen等人(2003)和Kim(2015)提出。Cohen等人(2003)的方法依赖于部分和半部分相关的单一和相同的统计量,而Kim(2015)的方法对每个部分和半部分相关使用两个单独的统计量。特别是,Kim(2015)和Cohen等人(2003)对半偏相关系数的p值计算的数学表达式有所不同。因此,从理论和仿真两个方面对这两种表达式进行了比较。结果表明,Kim(2015)的半偏相关系数对对应的p值是单调的,而Cohen等人(2003)的方法不保持单调性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

<i>P</i>-value calculation methods for semi-partial correlation coefficients.

P-value calculation methods for semi-partial correlation coefficients.

The p-value calculation methods for the partial and semi-partial correaltion coefficients were proposed by Cohen et al. (2003) and Kim (2015). The method of Cohen et al. (2003) depends on a single and identical statistic for both partial and semi-partial correlations, while Kim (2015)'s method uses two separate statistics for each of partial and semi-partial correlations. In particular, the mathematical expression of the p-value calculation for the semi-partial correlation coefficient differs between Kim (2015) and Cohen et al. (2003). Thus, these two expressions were compared through theoretical aspects and simulations. The results show that the semi-partial correlation coefficients by Kim (2015) is monotonic to the corresponding p-values, while Cohen et al. (2003)'s method does not maintain monotonicity.

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来源期刊
CiteScore
0.90
自引率
0.00%
发文量
49
期刊介绍: Communications for Statistical Applications and Methods (Commun. Stat. Appl. Methods, CSAM) is an official journal of the Korean Statistical Society and Korean International Statistical Society. It is an international and Open Access journal dedicated to publishing peer-reviewed, high quality and innovative statistical research. CSAM publishes articles on applied and methodological research in the areas of statistics and probability. It features rapid publication and broad coverage of statistical applications and methods. It welcomes papers on novel applications of statistical methodology in the areas including medicine (pharmaceutical, biotechnology, medical device), business, management, economics, ecology, education, computing, engineering, operational research, biology, sociology and earth science, but papers from other areas are also considered.
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