Dr. M. (Maarten) Marsman
Faculteit der Maatschappij- en Gedragswetenschappen
Programmagroep: Psychological Methods
Bezoekadres
- Nieuwe Achtergracht 129
- Kamernummer: 0.32
Postadres
- Postbus 15906
1001 NK Amsterdam
Contactgegevens
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Profile
I am an assistant professor at the department of psychological methods. I received my PhD in (computational) psychometrics in 2014 at the University of Twente, Enschede. My research has since then focused on formal connections between psychometric and network models and, more recently, the formal psychometric theory for the development of (individual differences in) cognition and psychopathology. At the same time, I also help develop new Bayesian statistical methods for psychological research and JASP. I hold an Innovational Research Incentives Scheme Veni grant awarded by the NWO for the project "The Psychometrics of Learning."
Key Publications
Marsman, M., Borsboom, D., Kruis, J., Epskamp, S., van Bork, S., Waldorp, L.J., van der Maas, H.L.J., & Maris, G.K.J. (in press). An introduction to network psychometrics: Relating Ising network models to item response theory models.
Marsman, M., Waldorp, L.J. & Maris, G.K.J. (in press). A note on large-scale logistic prediction: Using an approximate graphical model to deal with collinearity and missing data. Behaviormetrika.
van der Maas, H.L.J., Kan, K.-J., Marsman, M., & Stevenson, C.E. (2017). Network models for cognitive development and intelligence. Journal of Intelligence, 5(2).
Marsman, M., Maris, G., Bechger, T.M., & Glas, C.A.W. (2017). Turning simulation into estimation: Generalized exchange algorithms for exponential family models. PLoS One, 12(1), e0169787.
Marsman, M., Maris, G.K.J., Bechger, T.M., & Glas, C.A.W. (2016). What can we learn from plausible values? Psychometrika, 81(2), 274-289.
Marsman, M., Maris, G.K.J., Bechger, T.M., & Glas, C.A.W. (2015). Bayesian inference of low-rank Ising networks. Scientific reports, 5(9050).
Personal website
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Publicaties
- refereed (56)
- wetenschappelijk (5)
- vakpublicatie (1)
- congresbijdragen (4)
- erkenning (5)
- supervised theses (7)
- working papers / preprints (1)
- datasets (2)
2022
- Dalege, J., Haslbeck, J. M. B., & Marsman, M. (2022). Idealized Modeling of Psychological Dynamics. In A-M. Isvoranu, S. Epskamp, L. Waldrop, & D. Borsboom (Eds.), Network Psychometrics with R: A Guide for Behavioral and Social Scientists (pp. 233-245). (Research methods and statistics). Routledge. https://doi.org/10.4324/9781003111238-17 [details]
Huth, K. B. S., Luigjes, J., Marsman, M., Goudriaan, A. E., & van Holst, R. J. (2022). Modeling alcohol use disorder as a set of interconnected symptoms -assessing differences between clinical and population samples and across external factors. Addictive Behaviors, 125, [107128]. https://doi.org/10.1016/j.addbeh.2021.107128 [details]- Huth, K. B. S., Waldorp, L. J., Luigjes, J., Goudriaan, A. E., van Holst, R. J., & Marsman, M. (2022). A Note on the Structural Change Test in Highly Parameterized Psychometric Models. Psychometrika, 87(3), 1064-1080. https://doi.org/10.1007/s11336-021-09834-6 [details]
- Marsman, M., & Huth, K. (2022). Idiographic Ising and Divide and Color Models: Encompassing Networks for Heterogeneous Binary Data. Multivariate Behavioral Research. https://doi.org/10.1080/00273171.2022.2135089
- Marsman, M., & Rhemtulla, M. (2022). Guest Editors’ Introduction to The Special Issue “Network Psychometrics in Action”: Methodological Innovations Inspired by Empirical Problems. Psychometrika, 87(1), 1-11. https://doi.org/10.1007/s11336-022-09861-x [details]
- Marsman, M., Huth, K., Waldorp, L. J., & Ntzoufras, I. (2022). Objective Bayesian Edge Screening and Structure Selection for Ising Networks. Psychometrika, 87(1), 47-82. https://doi.org/10.1007/s11336-022-09848-8 [details]
- Mulder, J., Wagenmakers, E-J., & Marsman, M. (2022). A Generalization of the Savage–Dickey Density Ratio for Testing Equality and Order Constrained Hypotheses. American Statistician, 76(2), 102-109. https://doi.org/10.1080/00031305.2020.1799861 [details]
- Sarafoglou, A., van der Heijden, A., Draws, T., Cornelisse, J., Wagenmakers, E-J., & Marsman, M. (2022). Combine Statistical Thinking With Open Scientific Practice: A Protocol of a Bayesian Research Project. Psychology Learning and Teaching, 21(2), 138-150. https://doi.org/10.1177/14757257221077307 [details]
- Waldorp, L., & Marsman, M. (2022). Relations between Networks, Regression, Partial Correlation, and the Latent Variable Model. Multivariate Behavioral Research, 57(6), 994-1006. https://doi.org/10.1080/00273171.2021.1938959 [details]
2021
- Boehm, U., Marsman, M., van der Maas, H. L. J., & Maris, G. (2021). An Attention-Based Diffusion Model for Psychometric Analyses. Psychometrika, 86(4), 938-972. https://doi.org/10.1007/s11336-021-09783-0 [details]
- Epskamp, S., Fried, E. I., van Borkulo, C. D., Robinaugh, D. J., Marsman, M., Dalege, J., Rhemtulla, M., & Cramer, A. O. J. (2021). Investigating the Utility of Fixed-margin Sampling in Network Psychometrics. Multivariate Behavioral Research, 56(2), 314-328 . https://doi.org/10.1080/00273171.2018.1489771 [details]
- Haslbeck, J. M. B., Epskamp, S., Marsman, M., & Waldorp, L. J. (2021). Interpreting the Ising Model: The Input Matters. Multivariate Behavioral Research, 56(2), 303-313. https://doi.org/10.1080/00273171.2020.1730150 [details]
- Sarafoglou, A., Haaf, J. M., Ly, A., Gronau, Q. F., Wagenmakers, E. J., & Marsman, M. (2021). Evaluating Multinomial Order Restrictions With Bridge Sampling. Psychological Methods, Advance online publication. https://doi.org/10.1037/met0000411
- Savi, A. O., Marsman, M., & van der Maas, H. L. J. (2021). Evolving networks of human intelligence. Intelligence, 88, [101567]. https://doi.org/10.1016/j.intell.2021.101567 [details]
- van Doorn, J., van den Bergh, D., Böhm, U., Dablander, F., Derks, K., Draws, T., Etz, A., Evans, N. J., Gronau, Q. F., Haaf, J. M., Hinne, M., Kucharský, Š., Ly, A., Marsman, M., Matzke, D., Komarlu Narendra Gupta, A. R., Sarafoglou, A., Stefan, A., Voelkel, J. G., & Wagenmakers, E-J. (2021). The JASP guidelines for conducting and reporting a Bayesian analysis. Psychonomic Bulletin & Review, 28(3), 813–826. https://doi.org/10.3758/s13423-020-01798-5 [details]
- von den Bergh, D., Clyde, M. A., Gupta, A. R. K. N., de Jong, T., Gronau, Q. F., Marsman, M., Ly, A., & Wagenmakers, E-J. (2021). A tutorial on Bayesian multi-model linear regression with BAS and JASP. Behavior Research Methods, 53(6), 2351-2371. https://doi.org/10.31234/osf.io/pqju6, https://doi.org/10.3758/s13428-021-01552-2 [details]
2020
- Kruis, J., Maris, G., Marsman, M., Bolsinova, M., & van der Maas, H. L. J. (2020). Deviations of rational choice: an integrative explanation of the endowment and several context effects. Scientific Reports, 10, [16226]. https://doi.org/10.1038/s41598-020-73181-2 [details]
- Landy, J. F., Jia, M. L., Ding, I. L., Viganola, D., Tierney, W., Dreber, A., Johannesson, M., Pfeiffer, T., Ebersole, C. R., Gronau, Q. F., Ly, A., van den Bergh, D., Marsman, M., Derks, K., Wagenmakers, E-J., Proctor, A., Bartels, D. M., Bauman, C. W., Brady, W. J., ... Uhlmann, E. L. (2020). Crowdsourcing hypothesis tests: Making transparent how design choices shape research results. Psychological Bulletin, 146(5), 451-479. https://doi.org/10.1037/bul0000220 [details]
- Ly, A., Stefan, A., van Doorn, J., Dablander, F., van den Bergh, D., Sarafoglou, A., Kucharský, S., Derks, K., Gronau, Q. F., Raj, A., Boehm, U., van Kesteren, E-J., Hinne, M., Matzke, D., Marsman, M., & Wagenmakers, E-J. (2020). The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P Value Hypothesis Test. Computational Brain & Behavior, 3(2), 153-161. https://doi.org/10.31234/osf.io/dhb7x, https://doi.org/10.1007/s42113-019-00070-x [details]
- van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E-J. (2020). Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman’s ρ. Journal of Applied Statistics, 47(16), 2984-3006. https://doi.org/10.1080/02664763.2019.1709053 [details]
- van den Bergh, D., van Doorn, J., Marsman, M., Draws, T., van Kesteren, E-J., Derks, K., Dablander, F., Gronau, Q. F., Kucharský, Š., Komarlu Narendra Gupta, A. R., Sarafoglou, A., Voelkel, J. G., Stefan, A., Ly, A., Hinne, M., Matzke, D., & Wagenmakers, E-J. (2020). A Tutorial on Conducting and Interpreting a Bayesian ANOVA in JASP. Année Psychologique, 120(1), 73-96. https://doi.org/10.31234/osf.io/spreb, https://doi.org/10.3917/anpsy1.201.0073 [details]
2019
- Boffo, M., Zerhouni, O., Gronau, Q. F., van Beek, R. J. J., Nikolaou, K., Marsman, M., & Wiers, R. W. (2019). Cognitive Bias Modification for Behavior Change in Alcohol and Smoking Addiction: Bayesian Meta-Analysis of Individual Participant Data. Neuropsychology Review, 29(1), 52-78. https://doi.org/10.1007/s11065-018-9386-4 [details]
- Love, J., Selker, R., Marsman, M., Jamil, T., Dropmann, D., Verhagen, J., ... Wagenmakers, E-J. (2019). JASP: Graphical statistical software for common statistical designs. Journal of Statistical Software, 88, [2]. https://doi.org/10.18637/jss.v088.i02 [details]
- Ly, A., Etz, A., Marsman, M., & Wagenmakers, E-J. (2019). Replication Bayes factors from evidence updating. Behavior Research Methods, 51(6), 2498–2508. https://doi.org/10.3758/s13428-018-1092-x [details]
- Marsman, M., Sigurdardóttir, H., Bolsinova, M., & Maris, G. (2019). Characterizing the Manifest Probability Distributions of Three Latent Trait Models for Accuracy and Response Time. Psychometrika, 84(3), 870-891. https://doi.org/10.1007/s11336-019-09668-3 [details]
- Marsman, M., Tanis, C. C., Bechger, T. M., & Waldorp, L. J. (2019). Network psychometrics in educational practice: Maximum likelihood estimation of the Curie-Weiss model. In B. P. Veldkamp, & C. Sluijter (Eds.), Theoretical and Practical Advances in Computer-Based Educational Measurement (pp. 93-120). (Methodology of Educational Measurement and Assessment). SpringerOpen. https://doi.org/10.1007/978-3-030-18480-3_5 [details]
- Marsman, M., Waldorp, L., Dablander, F., & Wagenmakers, E-J. (2019). Bayesian estimation of explained variance in ANOVA designs. Statistica Neerlandica, 73(3), 351-372. https://doi.org/10.1111/stan.12173 [details]
- Savi, A. O., Marsman, M., van der Maas, H. L. J., & Maris, G. K. J. (2019). The Wiring of Intelligence. Perspectives on Psychological Science, 14(6), 1034-1061. https://doi.org/10.1177/1745691619866447 [details]
- Waldorp, L., Marsman, M., & Maris, G. (2019). Logistic regression and Ising networks: Prediction and estimation when violating lasso assumptions. Behaviormetrika, 46(1), 49-72. https://doi.org/10.1007/s41237-018-0061-0 [details]
- van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E-J. (2019). Bayesian estimation of Kendall’s τ using a latent normal approach. Statistics and Probability Letters, 145, 268-272. https://doi.org/10.1016/j.spl.2018.10.004 [details]
2018
- Boehm, U., Marsman, M., Matzke, D., & Wagenmakers, E-J. (2018). On the importance of avoiding shortcuts in applying cognitive models to hierarchical data. Behavior Research Methods, 50(4), 1614-1631. https://doi.org/10.3758/s13428-018-1054-3 [details]
- Hofman, A. D., Visser, I., Jansen, B. R. J., Marsman, M., & van der Maas, H. L. J. (2018). Fast and slow strategies in multiplication. Learning and Individual Differences, 68, 30-40. https://doi.org/10.1016/j.lindif.2018.09.007 [details]
- Ly, A., Marsman, M., & Wagenmakers, E-J. (2018). Analytic posteriors for Pearson's correlation coefficient. Statistica Neerlandica, 72(1), 4-13. https://doi.org/10.1111/stan.12111 [details]
- Ly, A., Raj, A., Etz, A., Marsman, M., Gronau, Q. F., & Wagenmakers, E-J. (2018). Bayesian reanalyses from summary statistics: A guide for academic consumers. Advances in Methods and Practices in Psychological Science, 1(3), 367-374. https://doi.org/10.1177/2515245918779348 [details]
- Marsman, M., Borsboom, D., Kruis, J., Epskamp, S., van Bork, R., Waldorp, L. J., van der Maas, H. L. J., & Maris, G. (2018). An introduction to network psychometrics: Relating ising network models to item response theory models. Multivariate Behavioral Research, 53(1), 15-35. https://doi.org/10.1080/00273171.2017.1379379 [details]
- Wagenmakers, E-J., Love, J., Marsman, M., Jamil, T., Ly, A., Verhagen, J., Selker, R., Gronau, Q. F., Dropmann, D., Boutin, B., Meerhoff, F., Knight, P., Raj, A., van Kesteren, E-J., van Doorn, J., Šmíra, M., Epskamp, S., Etz, A., Matzke, D., ... Morey, R. D. (2018). Bayesian inference for psychology. Part II: Example applications with JASP. Psychonomic Bulletin & Review, 25(1), 58-76. https://doi.org/10.3758/s13423-017-1323-7 [details]
- Wagenmakers, E-J., Marsman, M., Jamil, T., Ly, A., Verhagen, J., Love, J., Selker, R., Gronau, Q. F., Šmíra, M., Epskamp, S., Matzke, D., Rouder, J. N., & Morey, R. D. (2018). Bayesian inference for psychology. Part I: Theoretical advantages and practical ramifications. Psychonomic Bulletin & Review, 25(1), 35-57. https://doi.org/10.3758/s13423-017-1343-3 [details]
- van Doorn, J., Ly, A., Marsman, M., & Wagenmakers, E-J. (2018). Bayesian Inference for Kendall's Rank Correlation Coefficient. American Statistician, 72(4), 303-308. https://doi.org/10.1080/00031305.2016.1264998 [details]
2017
- Epskamp, S., Kruis, J., & Marsman, M. (2017). Estimating psychopathological networks: Be careful what you wish for. PLoS ONE, 12(6), [e0179891]. https://doi.org/10.1371/journal.pone.0179891 [details]
- Gronau, Q. F., Sarafoglou, A., Matzke, D., Ly, A., Boehm, U., Marsman, M., Leslie, D. S., Forster, J. J., Wagenmakers, E-M., & Steingroever, H. (2017). A tutorial on bridge sampling. Journal of Mathematical Psychology, 81, 80-97. https://doi.org/10.1016/j.jmp.2017.09.005 [details]
- Jamil, T., Ly, A., Morey, R. D., Love, J., Marsman, M., & Wagenmakers, E-J. (2017). Default “Gunel and Dickey” Bayes factors for contingency tables. Behavior Research Methods, 49(2), 638-652. https://doi.org/10.3758/s13428-016-0739-8 [details]
- Jamil, T., Marsman, M., Ly, A., Morey, R. D., & Wagenmakers, E-J. (2017). What Are the Odds? Modern Relevance and Bayes Factor Solutions for MacAlister’s Problem From the 1881 Educational Times. Educational and Psychological Measurement, 77(5), 819-830. https://doi.org/10.1177/0013164416667980 [details]
- Lever, A. G., Ridderinkhof, K. R., Marsman, M., & Geurts, H. M. (2017). Reactive and Proactive Interference Control in Adults With Autism Spectrum Disorder Across the Lifespan. Developmental Psychology, 53(2), 379-395. https://doi.org/10.1037/dev0000219 [details]
- Ly, A., Marsman, M., Verhagen, J., Grasman, R. P. P. P., & Wagenmakers, E-M. (2017). A tutorial on Fisher information. Journal of Mathematical Psychology, 80, 40-55. https://doi.org/10.1016/j.jmp.2017.05.006 [details]
- Marsman, M., & Wagenmakers, E-J. (2017). Bayesian benefits with JASP. The European Journal of Developmental Psychology, 14(5), 545-555. https://doi.org/10.1080/17405629.2016.1259614 [details]
- Marsman, M., & Wagenmakers, E-J. (2017). Three insights from a Bayesian interpretation of the one-sided P value. Educational and Psychological Measurement, 77(3), 529-539. https://doi.org/10.1177/0013164416669201 [details]
- Marsman, M., Maris, G., Bechger, T., & Glas, C. (2017). Turning simulation into estimation: Generalized exchange algorithms for exponential family models. PLoS ONE, 12(1), [e0169787]. https://doi.org/10.1371/journal.pone.0169787 [details]
- Marsman, M., Schönbrodt, F. D., Morey, R. D., Yao, Y., Gelman, A., & Wagenmakers, E-J. (2017). A Bayesian bird's eye view of 'Replications of important results in social psychology'. Royal Society Open Science, 4(1), [160426]. https://doi.org/10.1098/rsos.160426, https://doi.org/10.1098/rsos.170085 [details]
- Marsman, M., Waldorp, L., & Maris, G. (2017). A note on large-scale logistic prediction: Using an approximate graphical model to deal with collinearity and missing data. Behaviormetrika, 44(2), 513-534. https://doi.org/10.1007/s41237-017-0024-x [details]
- van der Maas, H. L. J., Kan, K. J., Marsman, M., & Stevenson, C. E. (2017). Network Models for Cognitive Development and Intelligence. Journal of Intelligence, 5(2), [16]. https://doi.org/10.3390/jintelligence5020016 [details]
2016
- Fox, J-P., Marsman, M., Mulder, J., & Verhagen, J. (2016). Complex Latent Variable Modeling in Educational Assessment. Communications in Statistics: Simulation and Computation, 45(5), 1499-1510. https://doi.org/10.1080/03610918.2014.939518 [details]
- Marsman, M., Maris, G., Bechger, T., & Glas, C. (2016). What can we learn from Plausible Values? Psychometrika, 81(2), 274-289. https://doi.org/10.1007/s11336-016-9497-x [details]
- Schweinsberg, M., Madan, N., Vianello, M., Sommer, S. A., Jordan, J., Tierney, W., ... Uhlmann, E. L. (2016). The pipeline project: Pre-publication independent replications of a single laboratory's research pipeline. Journal of Experimental Social Psychology, 66, 55-67. https://doi.org/10.1016/j.jesp.2015.10.001 [details]
- Tierney, W., Schweinsberg, M., Jordan, J., Kennedy, D. M., Qureshi, I., Sommer, S. A., ... Uhlmann, E. L. (2016). Data from a pre-publication independent replication initiative examining ten moral judgement effects. Scientific Data, 3, [160082]. https://doi.org/10.1038/sdata.2016.82 [details]
2015
- Love, J., Selker, R., Verhagen, J., Marsman, M., Gronau, Q. F., Jamil, T., Smira, M., Epskamp, S., Wild, A., Ly, A., Matzke, D., Wagenmakers, E-J., Morey, R. D., & Rouder, J. N. (2015). Software to sharpen your stats. APS Observer, 28(3), 27-29. http://www.psychologicalscience.org/index.php/publications/observer/2015/march-15/bayes-or-bust-with-new-softwares.html [details]
- Marsman, M., Maris, G., Bechger, T., & Glas, C. (2015). Bayesian inference for low-rank Ising networks. Scientific Reports, 5, [9050]. https://doi.org/10.1038/srep09050 [details]
2022
- Marsman, M., Waldorp, L., & Borsboom, D. (2022). Towards an Encompassing Theory of Network Models: Reply to Brusco, Steinley, Hoffman, Davis-Stober, and Wasserman (2019). Psychological Methods. https://doi.org/10.1037/met0000373
2020
- Savi, A. O., van der Maas, H. L. J., Maris, G. K. J., & Marsman, M. (2020). Mitochondrial functioning ≠ general intelligence. Journal of Intelligence, 8(2), [20]. https://doi.org/10.3390/jintelligence8020020 [details]
2019
- van der Maas, H. L. J., Savi, O. A., Hofman, A., Kan, K-J., & Marsman, M. (2019). The Network Approach to General Intelligence. In D. J. McFarland (Ed.), General and Specific Mental Abilities (pp. 108-131). Cambridge Scholars Publishing. [details]
2018
- Ly, A., Böhm, U., Heathcote, A., Turner, B. M., Forstmann, B., Marsman, M., & Matzke, D. (2018). A flexible and efficient hierarchical Bayesian approach to the exploration of individual differences in cognitive-model-based neuroscience. In A. A. Moustafa (Ed.), Computational Models of Brain and Behavior (pp. 467-480). Wiley Blackwell. https://doi.org/10.1002/9781119159193.ch34 [details]
2016
- Marsman, M., Ly, A., & Wagenmakers, E-J. (2016). Four Requirements for an Acceptable Research Program. Basic and Applied Social Psychology, 38(6), 308-312. https://doi.org/10.1080/01973533.2016.1221349 [details]
2019
- Borsboom, D., & Marsman, M. (2019). Latente variabelen en netwerken: verschillende benaderingen van psychometrische data. Nieuw Archief voor Wiskunde, 20(3), 183-189. http://www.nieuwarchief.nl/serie5/toonnummer.php?deel=20&nummer=3&taal=0 [details]
2017
- Ly, A., Raj, A., Wagenmakers, E. M., & Marsman, M. (2017). A limit-consistent Bayes factor for testing the equality of two Poisson rates. Poster session presented at International Workshop on Objective Bayes Methodology, Austin, United States.
2015
- Ly, A., Marsman, M., & Wagenmakers, E-J. (2015). Jeffrey's Correlation Test Based on Criteria of Bayarri, Berger, Forte, and Garcia-Donato (2012). Poster session presented at 11th International Workshop on Objective Bayes Methodology.
- Ly, A., Marsman, M., & Wagenmakers, E. M. (2015). Jeffreys’s Correlation Test Based on Criteria of Bayarri, Berger, Forte, and Garcia-Donato (2012). Poster session presented at Objective Bayesian Analysis, Valencia, Spain.
- Ly, A., Marsman, M., Epskamp, S., Matzke, D., Selker, R., Gronau, Q. F., Jamil, T., Steingroever, H., Love, J., & Wagenmakers, E-J. (2015). Replication Bayes Factors. Abstract from MathPsych 2015.
Prijs / subsidie
- Marsman, M. (2017). NWO Innovational Research Incentives Scheme Veni.
Lidmaatschap / relevante positie
- Marsman, M. (2018-2019). Institute for Advanced Studies. http://ias.uva.nl/
Tijdschriftredactie
- Marsman, M. (editor) (2019-2023). Psychometrika (Journal).
Spreker
- Marsman, M. (speaker) (14-6-2018). The Idiographic Ising Network Model, 33rd IOPS Summer Conference, Amsterdam.
- van Beek, R. (speaker), Zerhouni, O. (speaker), Boffo, M. (speaker), Nikolaou, K. (speaker), Wiers, R. W. H. J. (speaker) & Marsman, M. (speaker) (1-9-2017). This but a scratch! Comparing frequentist and Bayesian meta-analysis on CBM on addictive behaviours., 31st annual conference of the European Health Psychology Society., Padua.
2023
2022
2021
2018
- Kruis, J., Molenaar, D., Marsman, M., Maris, G., & van der Maas, H. (2018). The Pairwise Exchange Tournament. University of Amsterdam. https://doi.org/10.13140/RG.2.2.26027.54569 [details]
2018
- Sarafoglou, A. S. G. & Marsman, M. (7-3-2018). Assignments Bayesian Statistics 2018. Universiteit van Amsterdam. https://doi.org/10.21942/uva.5955922.v1
- Sarafoglou, A. S. G. & Marsman, M. (6-3-2018). Final Grades BayesStats 2018. Universiteit van Amsterdam. https://doi.org/10.21942/uva.5952136.v1
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Nevenwerkzaamheden
- Geen nevenwerkzaamheden
Huth, K. B. S., Luigjes, J., Marsman, M., Goudriaan, A. E., & van Holst, R. J. (2022). Modeling alcohol use disorder as a set of interconnected symptoms -assessing differences between clinical and population samples and across external factors. Addictive Behaviors, 125, [107128].