Jonas M. B. Haslbeck

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Lourens WaldorpAssociate professor Methods and Statistics, University of AmsterdamVerified email at uva.nl
Denny BorsboomProfessor of Psychological Methods, University of AmsterdamVerified email at uva.nl
Oisín RyanUniversity Medical Center UtrechtVerified email at umcutrecht.nl
Eiko I. FriedLeiden University, Department of Clinical PsychologyVerified email at fsw.leidenuniv.nl
Dirk U. WulffMax-Planck-Institute for Human Development & University of BaselVerified email at unibas.ch
Donald RobinaughNortheastern UniversityVerified email at northeastern.edu
Pascal J. KieslichUniversity of Mannheim, GermanyVerified email at psychologie.uni-mannheim.de
Sacha EpskampNational University of Singapore: Department of PsychologyVerified email at nus.edu.sg
Felix HenningerDepartment of Statistics, Ludwig Maximilian University of MunichVerified email at stat.uni-muenchen.de
Michael Schulte-MecklenbeckUniversity of Bern; Max Planck Institute for Human DevelopmentVerified email at unibe.ch
Tessa F. BlankenPostdoc, University of AmsterdamVerified email at uva.nl
Claudia van BorkuloUniversity of Amsterdam, Psychological Methods DepartmentVerified email at uva.nl
Fabian DablanderUniversity of AmsterdamVerified email at uva.nl
Adela-Maria IsvoranuAssistant Professor, National University of SingaporeVerified email at nus.edu.sg
L.F. BringmannUniversity of GroningenVerified email at rug.nl
Maarten MarsmanAssistant Professor, University of AmsterdamVerified email at uva.nl
Julian BurgerYale UniversityVerified email at uva.nl
Mark DekkerNetherlands Environmental Assessment Agency (PBL); Utrecht University (UU)Verified email at uu.nl
Dawid WalentekPost-doc, University of WarsawVerified email at uw.edu.pl
Richard McNallyHarvard University, University of Illinois at Chicago, University of Health Sciences/The ChicagoVerified email at wjh.harvard.edu

Jonas M. B. Haslbeck

University of Amsterdam

Verified email at uva.nl - Homepage

Statistics Dynamical Systems Psychology


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mgm: Estimating time-varying mixed graphical models in high-dimensional data J Haslbeck, LJ Waldorp Journal of Statistical Software 93 (8), 2020	509*	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	292	2018
How Predictable are Symptoms in Psychopathological Networks? A Reanalysis of 18 Published Datasets JMB Haslbeck, EI Fried Psychological Medicine, 2016	238	2016
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	162	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	147	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	146	2021
Reporting standards for psychological network analyses in cross-sectional data. J Burger, AM Isvoranu, G Lunansky, J Haslbeck, S Epskamp, ... Psychological methods, 2022	127	2022
A tutorial on estimating time-varying vector autoregressive models J Haslbeck, LF Bringmann, LJ Waldorp Multivariate Behavioral Research, 2021	103*	2021
Mouse-Tracking PJ Kieslich, F Henninger, DU Wulff, JM Haslbeck, M Schulte-Mecklenbeck A Handbook of Process Tracing Methods; Routledge: Abingdon, UK, 111-130, 2019	100	2019
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	94	2019
Moderated network models JMB Haslbeck, D Borsboom, LJ Waldorp Multivariate behavioral research 56 (2), 256-287, 2021	88	2021
Recovering within-person dynamics from psychological time series JMB Haslbeck, O Ryan Multivariate Behavioral Research 57 (5), 735-766, 2022	54*	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	48	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	42	2021
Mouse-tracking: Detecting Types in Movement Trajectories DU Wulff, JMB Haslbeck, PJ Kieslich, F Henninger, ...	36	2018
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	33	2021
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	33	2017
Package ‘NetworkComparisonTest’ C van Borkulo, L Boschloo, D Borsboom, B Penninx, L Waldorp, ... JAMA Psychiatry 72, 1219-1226, 2015	31	2015
Estimating group differences in network models using moderation analysis JMB Haslbeck Behavior Research Methods, 1-19, 2022	29	2022
Interpreting the Ising model: The input matters JMB Haslbeck, S Epskamp, M Marsman, LJ Waldorp Multivariate behavioral research 56 (2), 303-313, 2021	28	2021

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