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首页> 外文期刊>Data in Brief >Corrigendum to: “FreeSurfer subcortical normative data” [Data in Brief 9 (2016) 732–736]
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Corrigendum to: “FreeSurfer subcortical normative data” [Data in Brief 9 (2016) 732–736]

机译:更正为:“ FreeSurfer皮层下规范性数据” [数据摘要9(2016)732–736]

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We have recently uncovered a flaw in our statistical method that impacts the semi-partial R? results presented in Figure 1. These values were computed using the option Effect size within the GLM procedure of the SAS statistical software and are labeled by SAS as semi-partial eta squares. These values are, in fact, a partitioned R? according to a given order of predictors’ entry. The main impact of this procedure is that the order of the predictors influences the semi-partial R?. While it does not impact the regression models, for those readers that are drawing conclusions based on the relative importance of the predictors, we felt compelled to provide more accurate and robust results.
机译:我们最近发现了统计方法中的一个缺陷,该缺陷会影响半部分R?结果如图1所示。这些值是使用SAS统计软件的GLM程序中的选项“影响大小”计算的,并由SAS标记为半部分eta平方。这些值实际上是一个分区的R 1。根据给定的预测变量输入顺序。该过程的主要影响是预测变量的顺序会影响半部分R1。尽管它不影响回归模型,但对于那些根据预测变量的相对重要性得出结论的读者,我们感到有必要提供更准确和可靠的结果。

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