Moderated Network Models
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Summary
This article extends the Gaussian Graphical Model by allowing each pairwise interaction between two variables to be moderated by (a subset of) all other variables in the model, and thereby introduces a Moderated Network Model (MNM).
- Type
- preprint
- Published
- 2018-07-08
- Cited by
- 131
- References
- 51
- Access
- Open access
- OpenAlex
- https://openalex.org/W2818366305
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:88524748
Keywords
Pairwise comparison, Lasso (programming language), Graphical model, Moderation, Computer science
References
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- Mixed Graphical Models via Exponential Families
- Using Multivariate Statistics
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- Estimating the reproducibility of psychological science
- An Introduction to Categorical Data Analysis
- State of the aRt personality research: A tutorial on network analysis of personality data in R
- How and for whom? Mediation and moderation in health psychology.
- Evaluating mediation and moderation effects in school psychology: A presentation of methods and review of current practice
- High-dimensional graphs and variable selection with the Lasso
- A LASSO FOR HIERARCHICAL INTERACTIONS
- Multiple Regression: Testing and Interpreting Interactions
- Selection and estimation for mixed graphical models
- Computing the nearest correlation matrix—a problem from finance
- The path to personalized medicine.
- Extended Bayesian Information Criteria for Gaussian Graphical Models
- Graphical Models, Exponential Families, and Variational Inference
- Sparse inverse covariance estimation with the graphical lasso.
- Estimating the Dimension of a Model
Cited by
- Psychological networks in clinical populations: investigating the consequences of Berkson's bias
- The association between insight and depressive symptoms in schizophrenia: Undirected and Bayesian network analyses
- Characterization and prediction of clinical pathways of vulnerability to psychosis through graph signal processing
- The Associations among Distress Tolerance, Unhelpful Coping Behaviors, and Symptoms of Depression: A Network Analysis
- What is the internal structure of intolerance of uncertainty? A network analysis approach.
- Applying network analysis to investigate the links between dimensional schizotypy and cognitive and affective empathy.
- Sex Differences in Depressive Symptoms and Their Networks in a Treatment-Seeking Population – a Cross Sectional Study
- A Cross-Country Network Analysis of Adolescent Resilience.
- Commentary: Extending longitudinal network approaches - a reflection on Funkhouser et al. (2020).
- Cross-cultural generalizability of the ICD-11 PGD symptom network: Identification of central symptoms and culturally specific items across German-speaking and Chinese bereaved.
- Specifying exogeneity and bilinear effects in data driven model searches
- Reduction in social learning and increased policy uncertainty about harmful intent is associated with pre-existing paranoid beliefs: Evidence from modelling a modified serial dictator game
- Network Trees: A Method for Recursively Partitioning Covariance Structures
- The Architecture of Cognitive Vulnerability to Depressive Symptoms in Adolescence: A Longitudinal Network Analysis Study
- Reporting standards for psychological network analyses in cross-sectional data.
- The Symptom Structure of Seasonal Affective Disorder: Integrating Results from Factor and Network Analyses in the Context of the Dual Vulnerability Model
- The network structure of schema modes
- Disentangling the Symptom-Level Nuances in Comorbid Posttraumatic Stress Disorder and Problematic Alcohol Use in Northern Irish Military Veterans: A Network Analysis.
- The Mental Health Ecosystem: Extending Symptom Networks With Risk and Protective Factors
- The Role of Emotional Regulation in Anxiety and Depression Symptom Interplay and Expression among Adolescent Females
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