Late-life major depressive disorder (MDD) can be conceptualized as a complex dynamic system. However, it is not straightforward how to analyze the covarying depressive symptoms over time in case of sparse panel data. Dynamic time warping (DTW) analysis may yield symptom networks and dimensions both at the patient and group level.

中文翻译：

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通过动态时间扭曲分析晚年抑郁症时变抑郁症状的网络结构

晚年重度抑郁症（MDD）可以被概念化为一个复杂的动态系统。然而，在面板数据稀疏的情况下，如何分析随时间变化的抑郁症状并不简单。动态时间扭曲 (DTW) 分析可能会在患者和群体层面产生症状网络和维度。