Jonas M. B. Haslbeck
Jonas M. B. Haslbeck
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Cited by
mgm: Estimating time-varying mixed graphical models in high-dimensional data
J Haslbeck, LJ Waldorp
Journal of Statistical Software 93 (8), 2020
How well do network models predict observations? On the importance of predictability in network models
JMB Haslbeck, LJ Waldorp
Behavior Research Methods 50 (2), 853-861, 2018
How Predictable are Symptoms in Psychopathological Networks? A Reanalysis of 18 Published Datasets
JMB Haslbeck, EI Fried
Psychological Medicine, 2016
Reporting standards for psychological network analyses in cross-sectional data.
J Burger, AM Isvoranu, G Lunansky, J Haslbeck, S Epskamp, ...
Psychological methods, 2022
Using network analysis to examine links between individual depressive symptoms, inflammatory markers, and covariates
EI Fried, S von Stockert, JMB Haslbeck, F Lamers, RA Schoevers, ...
Psychological Medicine, 2018
Modeling psychopathology: From data models to formal theories.
J Haslbeck, O Ryan, DJ Robinaugh, LJ Waldorp, D Borsboom
Psychological Methods 27 (6), 930, 2022
Invisible hands and fine calipers: A call to use formal theory as a toolkit for theory construction
D Robinaugh, J Haslbeck, O Ryan, EI Fried, L Waldorp
Perspectives on Psychological Science, 2021
A tutorial on estimating time-varying vector autoregressive models
J Haslbeck, LF Bringmann, LJ Waldorp
Multivariate Behavioral Research, 2021
Mouse-tracking: A practical guide to implementation and analysis 1
PJ Kieslich, F Henninger, DU Wulff, JMB Haslbeck, ...
A handbook of process tracing methods, 111-130, 2019
Moderated network models
JMB Haslbeck, D Borsboom, LJ Waldorp
Multivariate behavioral research 56 (2), 256-287, 2021
Advancing the network theory of mental disorders: A computational model of panic disorder
D Robinaugh, J Haslbeck, L Waldorp, J Kossakowski, EI Fried, A Millner, ...
PsyArXiv, 2019
Recovering within-person dynamics from psychological time series
JMB Haslbeck, O Ryan
Multivariate Behavioral Research 57 (5), 735-766, 2022
Data from ‘Critical Slowing Down as a Personalized Early Warning Signal for Depression’
JJ Kossakowski, PC Groot, JMB Haslbeck, D Borsboom, M Wichers
Journal of Open Psychology Data 5 (1), 2017
qgraph: Graph plotting methods, psychometric data visualization and graphical model estimation
S Epskamp, G Costantini, J Haslbeck, AOJ Cramer, LJ Waldorp, ...
R Package Version 1.4. 3, 2017
How handling extreme C-reactive protein (CRP) values and regularization influences CRP and depression criteria associations in network analyses
DP Moriarity, SR Horn, MM Kautz, JMB Haslbeck, LB Alloy
Brain, Behavior, and Immunity 91, 393-403, 2021
The mental health ecosystem: Extending symptom networks with risk and protective factors
G Lunansky, CD Van Borkulo, JMB Haslbeck, MA Van der Linden, ...
Frontiers in psychiatry 12, 640658, 2021
Mouse-tracking: Detecting Types in Movement Trajectories
DU Wulff, JMB Haslbeck, PJ Kieslich, F Henninger, ...
Estimating group differences in network models using moderation analysis
JMB Haslbeck
Behavior Research Methods 54 (1), 522-540, 2022
Package ‘NetworkComparisonTest’
C van Borkulo, L Boschloo, D Borsboom, B Penninx, L Waldorp, ...
JAMA Psychiatry 72, 1219-1226, 2015
Interpreting the Ising model: The input matters
JMB Haslbeck, S Epskamp, M Marsman, LJ Waldorp
Multivariate behavioral research 56 (2), 303-313, 2021
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