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Article

Temporal dynamics of depressive symptomatology: An idiographic time series analysis applying network models to patients with depressive disorders

2022-07-13

Abstract excerpt

<p>Background: As phenotypes of depressive disorders (DD) are highly heterogenous, a growing number of studies investigate person-specific associations of depressive symptoms in time series data. Most available methods for estimating applicable models rely on the assumption that the associations between variables stay constant over time, which can be unrealistic in clinical contexts. To circumvent this limitation,...

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Literature Corpus work
29e23115-f133-5479-b9e7-7dfaac2989b4
DOI
10.31234/osf.io/hnw69
Open publication

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Temporal dynamics of depressive symptomatology: An idiographic time series analysis applying network models to patients with depressive disordersDOI 10.31234/osf.io/hnw69
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