Regularized Cross-Sectional Network Modeling with Missing Data: A Comparison of Methods.
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DOI: 10.1080/00273171.2025.2551373
Abstract: Abstract Many applications of network modeling involve cross-sectional data of psychological variables (e.g., symptoms for psychological disorders), and analyses are often conducted using a regularized Gaussian graphical model (GGM) employing a lasso, also known as… read more here.
Keywords: missing data; cross sectional; network; regularized cross ... See more keywords