MATLAB用拟合出的代码绘图-myMixedModelsTrajectories:适合于纵向轨迹估计的混合模型

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MATLAB用拟合出的代码绘图myMixedModelsTrajectories:使用混合模型回归的轨迹拟合 混合效应模型工具箱,用于分析纵向数据 该工具箱允许将具有不同阶次的模型(从常数模型到三次模型)拟合到具有重复测量的数据。 目的是在混合样本中估算年龄的发展曲线,在该样本中,受试者是在不同年龄和多个时间点记录的。 除了确定最佳模型(无年龄关系,线性年龄关系,二次年龄关系或立方年龄关系)之外,该工具箱还可以估算多个组之间的发育差异(请参阅分组信息注释)。 主要步骤遵循Mutlu等人在Neuroimage 2015中提出的算法第一手: 将递增顺序的模型拟合到数据,并根据贝叶斯信息准则选择最佳模型 估计多组曲线的截距和形状中的组差异的p值 使用错误发现率更正多个比较 绘制结果模型参数和拟合曲线 使用此代码时,请引用以下论文: AK,穆特卢(Mutlu),施耐德(Ms. Schneider),M。德巴内(Debbané),巴杜德(Badoud),埃利兹(Eliez),S。希尔(Schaer),M.,2013。全皮层厚度差异和折叠发育的性别差异。 Neuroimage 82,200–207

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