Multiple correlations and Bonferroni's correction

被引:530
作者
Curtin, F [1 ]
Schulz, P [1 ]
机构
[1] Univ Geneva, Dept Psychiat, CH-1211 Geneva 4, Switzerland
关键词
multiple correlations; significance level; type I error; Bonferroni; multivariate statistical analysis;
D O I
10.1016/S0006-3223(98)00043-2
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Correlation coefficients between biological measurements and clinical scales are often calculated in psychiatric research. Calculating numerous correlations increases the risk of a type I error, i.e., to erroneously conclude the presence of a significant correlation. To avoid this, the level of statistical significance of correlation coefficients should be adjusted. Threshold levels of significance for correlation coefficients were adjusted for multiple comparisons in a set of k correlation coefficients (k = 1, 5, 10, 20, 50, 100) by Bonferroni's correction. Significant correlation coefficients were then calculated according to sample size. The change in the threshold values of significance is larger when the number of correlations goes from 1 to 5 than when it goes from 50 to 100. A correlation coefficient, statistically significant at 5% when calculated alone, can be under the threshold level of significance when calculated even among a few other coefficients. Focusing on the most relevant variables or the use of multivariate statistics is advocated. Biol Psychiatry 1998;44:775-777 (C) 1998 Society of Biological Psychiatry.
引用
收藏
页码:775 / 777
页数:3
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