High-dimensional Response Growth Curve Modeling for Longitudinal Neuroimaging Analysis
面向纵向神经影像分析的高维响应增长曲线模型
There is increasing interest in modeling high-dimensional longitudinal outcomes in applications such as developmental neuroimaging research. Growth curve model offers a useful tool to capture both the mean growth pattern across individuals, as well as the dynamic changes of outcomes over time within each individual. However, when the number of outcomes is large, it becomes challenging and often infeasible to tackle the large covariance matrix of the random effects involved…