MESThe Measures of Effect Size 效应量计算工具的使用The Measures of Effect Size (MES) Toolbox is a set of Matlab functions which compute a wide range of effect size statistics. The four main toolbox functions cover common analysis designs, including two-sample-, oneway- and twoway- data sets as well as categorical data (tables). Data may be repeated-measures (within-subjects)MES for contrasts can be computed. Confidence intervals are generated for the large majority of MES, either via bootstrapping or by analytical computation, in part via noncentral t, Chi square or F distributions.Effect size statistics are complemented by t/Chi square/F statistics and/or full ANOVA tables, which are also provided as output variables.mes中计算ROC的使用方法mes(rt_post(group0),rt_post(group1),auroc,nBoot,10000,ROCtBoot,1)函数参数说明group 0对照组group 1实验组auroc方法名nBoot:Bootstrap的次数函数使用时对照组的标签应该设置为0实验组的标签设置为1对于哪一组的标签是正类会最终影响到计算结果。计算输出stats中包含auc的值置信区间的上界和下界值可以作为统计分析的结果表示两者之间的差异有多大。神经科学的分析中长用到这一方法。对于是否有显著性临床中按照下限不包含在AUC0.5的区间则说明两者之间存在显著性论文示例Aperiodic and Periodic Alpha Parameters of the Electroencephalogram during Emergence from General Anesthesia: Results from a Prospective Observational Cohort Study