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Robust statistics for nonparametric group analysis in fMRI

机译:FMRI中非参数组分析的强大统计

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In order to deal with inhomogeneous groups of subjects in fMRI studies, we investigate several robust statistics to perform random-effect analysis on the mean population effect (sign statistic, Wilcoxon's signed rank statistic and empirical t statistic). The tests' significance levels are calibrated using the same sign permutation framework, allowing for exact specificity control under a mild symmetry assumption about the subjects' distribution. The benefit of the robust approach is illustrated on a speech listening experiment involving three month-old infants.
机译:为了应对FMRI研究中的非均质受试者群体,我们调查几种稳健的统计数据,以对平均种群效应进行随机效应分析(符号统计,Wilcoxon的签名等级统计和实证T统计数据)。使用相同的符号置换框架校准测试的显着水平,允许在关于受试者分布的温和对称假设下进行精确的特异性控制。涉及三个月大婴儿的语音聆听实验,说明了鲁棒方法的好处。

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