ArticlePsychometrika2022
Time to Intervene: A Continuous-Time Approach to Network Analysis and Centrality.
Article in Psychometrika, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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Who cites it
20 citing papers in PubMed.
- Toward a mechanistic understanding of LGBTQ-affirmative cognitive-behavioral therapy: Testing treatment mediators in a randomized controlled trial with young gay and bisexual men.Behaviour research and therapy · 2026Trial
- The impact of role stress and work-family balance on nurses' professional quality of life: a network analysis.Frontiers in psychology · 2026Article
- Examining the utility of process-focused data driven psychological networks for individualizing psychological treatment in chronic pain-A single case experiment testing the centrality hypothesis.Frontiers in psychology · 2026Article
- Viewing social isolation as a complex dynamical system: A theoretical and computational framework.NPP - digital psychiatry and neuroscience · 2025Article
- The temporal relationships between social motivation and social interactions in people with serious mental illness and recent homelessness.Journal of mental health (Abingdon, England) · 2025Article
- Complex temporal dynamics of mental health indicators: A longitudinal network approach perspective.Psychological medicine · 2025Article
- Causal AI Recommendation System for Digital Mental Health: Bayesian Decision-Theoretic Analysis.Journal of medical Internet research · 2025Article
- The Dialectical Relationship Between Burnout and Work Engagement: A Network Approach.Stress and health : journal of the International Society for the Investigation of Stress · 2025Article
- Unsupervised Model Construction in Continuous-Time.Structural equation modeling : a multidisciplinary journal · 2025Article
- Causal inference on human behaviour.Nature human behaviour · 2024Review
- Applying continuous-time models to ecological momentary assessments: A practical introduction to the method and demonstration with clinical data.NPP - digital psychiatry and neuroscience · 2024Article
- Intraindividual time-varying dynamic network of affects: linear autoregressive mixed-effects models for ecological momentary assessment.Frontiers in psychiatry · 2024Article
- Mapping the timescale of suicidal thinking.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Multiple imputation of missing data in multilevel ecological momentary assessments: an example using smoking cessation study data.Frontiers in digital health · 2023Article
- Modeling psychopathology: From data models to formal theories.Psychological methods · 2022Review
- Continuous-Time Modeling of the Bidirectional Relationship Between Incidental Affect and Physical Activity.Annals of behavioral medicine : a publication of the Society of Behavioral Medicine · 2022Article
- Guest Editors' Introduction to The Special Issue "Network Psychometrics in Action": Methodological Innovations Inspired by Empirical Problems.Psychometrika · 2022Article
- Possible Futures for Network Psychometrics.Psychometrika · 2022Article
- Temporal biobehavioral pathways from perceived stress to symptom burden in patients with cancer: A three-wave longitudinal cross-lagged panel network analysis to inform supportive care.International journal of clinical and health psychology : IJCHPArticle
- Evaluating Discrete Time Methods for Subgrouping Continuous Processes.Multivariate behavioral researchArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Network analysis of ESM data has become popular in clinical psychology. In this approach, discrete-time (DT) vector auto-regressive (VAR) models define the network structure with centrality measures used to identify intervention targets. However, VAR models suffer from time-interval dependency. Continuous-time (CT) models have been suggested as an alternative but require a conceptual shift, implying that DT-VAR parameters reflect total rather than direct effects. In this paper, we propose and illustrate a CT network approach using CT-VAR models. We define a new network representation and develop centrality measures which inform intervention targeting. This methodology is illustrated with an ESM dataset.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.