Wagenmakers, E. M., van Doorn, J. B., & van den Bergh, D. (2023). Toegankelijke en duurzame statistiek met JASP. STAtOR, 24, 41-47.
van Doorn, J., Aust, F., Haaf, J. M., Stefan, A. M., & Wagenmakers, E.-J. (2023). Bayes Factors for Mixed Models. Computational Brain and Behavior, 6(1), 1–13. https://doi.org/10.1007/s42113-021-00113-2[details]
Scheepstra, K. W. F., van Doorn, J. B., Scheepens, D. S., de Haan, A., Schukking, N., Zantvoord, J. B., & Lok, A. (2022). 'Rapid speed of response to ECT in bipolar depression: A chart review. Journal of Psychiatric Research, 147, 34-38. Advance online publication. https://doi.org/10.1016/j.jpsychires.2022.01.008[details]
Temp, A. G. M., Ly, A., van Doorn, J., Wagenmakers, E.-J., Tang, Y., Lutz, M. W., & Teipel, S. (2022). A Bayesian perspective on Biogen's aducanumab trial. Alzheimer's and Dementia, 18(11), 2341-2351. https://doi.org/10.1002/alz.12615[details]
Aczel, B., Szaszi, B., Nilsonne, G., van den Akker, O. R., Albers, C. J., van Assen, M. A., Bastiaansen, J. A., Benjamin, D., Boehm, U., Botvinik-Nezer, R., Bringmann, L. F., Busch, N. A., Caruyer, E., Cataldo, A. M., Cowan, N., Delios, A., van Dongen, N. N. N., Donkin, C., van Doorn, J. B., ... Wagenmakers, E.-J. (2021). Science Forum: Consensus-based guidance for conducting and reporting multi-analyst studies. eLife, 10, Article e72185. https://doi.org/10.7554/eLife.72185[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. Advance online publication. https://doi.org/10.3758/s13423-020-01798-5[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. Advance online publication. 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 Doorn, J., Matzke, D., & Wagenmakers, E-J. (2020). An In-Class Demonstration of Bayesian Inference. Psychology Learning and Teaching, 19(1), 36-45. Advance online publication. https://doi.org/10.1177/1475725719848574[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
Crüwell, S., van Doorn, J., Etz, A., Makel, M. C., Moshontz, H., Niebaum, J. C., Orben, A., Parsons, S., & Schulte-Mecklenbeck, M. (2019). Seven Easy Steps to Open Science: An Annotated Reading List. Zeitschrift für Psychologie, 227(4), 237-248. https://doi.org/10.1027/2151-2604/a000387[details]
van Dongen, N. N. N., van Doorn, J. B., Gronau, Q. F., van Ravenzwaaij, D., Hoekstra, R., Haucke, M. N., Lakens, D., Hennig, C., Morey, R. D., Homer, S., Gelman, A., Sprenger, J., & Wagenmakers, E. J. (2019). Multiple Perspectives on Inference for Two Simple Statistical Scenarios. American Statistician, 73(S1), 328-339. https://doi.org/10.1080/00031305.2019.1565553[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. Advance online publication. https://doi.org/10.1016/j.spl.2018.10.004[details]
Derks, K., Burger, J., van Doorn, J., Kossakowski, J. J., Matzke, D., Atticciati, L., Beitner, J., Benzesin, V., de Bruijn, A. L., Cohen, T. R. H., Cordesius, E. P. A., van Dekken, M., Delvendahl, N., Dobbelaar, S., Groenendijk, E. R., Hermans, M. E., Hiekkaranta, A. P., Hoekstra, R. H. A., Hoffmann, A. M., ... Wagenmakers, E-J. (2018). Network Models to Organize a Dispersed Literature: The Case of Misunderstanding Analysis of Covariance. Journal of European Psychology Students, 9, 48-57. https://doi.org/10.5334/jeps.458[details]
Jepma, M., Koban, L., van Doorn, J., Jones, M., & Wager, T. D. (2018). Behavioural and neural evidence for self-reinforcing expectancy effects on pain. Nature Human Behaviour, 2(11), 838-855. https://doi.org/10.1038/s41562-018-0455-8[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. Advance online publication. https://doi.org/10.3758/s13423-017-1323-7[details]
van Doorn, J., Wagenmakers, E.-J., Eric-Jan, W., Ly, A. & Marsman, M. (2016). Bayesian Inference for Kendall's Rank Correlation Coefficient. Taylor & Francis. https://doi.org/10.6084/m9.figshare.4452449
van Doorn, J., Wagenmakers, E.-J., Eric-Jan, W., Ly, A. & Marsman, M. (2016). Bayesian Inference for Kendall's Rank Correlation Coefficient. Taylor & Francis. https://doi.org/10.6084/m9.figshare.4452449
2015
Aarts, A. A., et al., U., Borsboom, D., Columbus, S., den Bezemer, B., Deserno, M. K., Epskamp, S., Jonas, K., Kleinberg, B., Kossakowski, J. J., Kunkels, Y. K., Rahal, R.-M., Sahin, O., Skorinko, J. L. M., Tio, P., van Bork, R., van den Bergh, D., van Renswoude, D. R., van Doorn, J., & Wagenmakers, E.-J. (2015). Estimating the reproducibility of psychological science. Science, 349(6251), 943. Article aac4716. https://doi.org/10.1126/science.aac4716[details]
Tio, P., Renkewitz, F., Bell, R., Selterman, D., Thomas, S. L., Martinez, T., Voracek, M., Van Doorn, J., Ostkamp, L., Galak, J., Pipitone, R. ., Epskamp, S., Hodsoll, J., Axt, J., Van Rijn, H., Bartmess, E., Strohminger, N., Beyan, L., Hung, C. O.-Y., … Scholz, S. (1-1-2015). Data from: Estimating the reproducibility of psychological science. Singapore Management University. https://doi.org/10.25440/smu.12062757.v1
2023
Wagenmakers, E. M., Godmann, H. R., de Ruiter, J. P. A., & van Doorn, J. B. (2023). Visualizing the Equation for the Sample Correlation Coefficient. (pp. 1-8). PsyArXiv. https://doi.org/10.31234/osf.io/gwu8b
Wagenmakers, E. M., Kucharský, S., van Doorn, J. B., & van den Bergh, D. (2023). Accessible and Sustainable Statistics with JASP. (pp. 1-12). PsyArXiv. https://doi.org/10.31234/osf.io/ud2vj
van Doorn, J., Aust, F., Haaf, J. M., Stefan, A. M., & Wagenmakers, E.-J. (2023). Bayes Factors for Mixed Models: Perspective on Responses. Computational Brain and Behavior, 6(1), 127–139. https://doi.org/10.1007/s42113-022-00158-x[details]
van Doorn, J., Haaf, J. M., Stefan, A. M., Wagenmakers, E.-J., Cox, G. E., Davis-Stober, C. P., Heathcote, A., Heck, D. W., Kalish, M., Kellen, D., Matzke, D., Morey, R. D., Nicenboim, B., van Ravenzwaaij, D., Rouder, J. N., Schad, D. J., Shiffrin, R. M., Singmann, H., Vasishth, S., ... Aust, F. (2023). Bayes Factors for Mixed Models: a Discussion. Computational Brain and Behavior, 6(1), 140–158. https://doi.org/10.1007/s42113-022-00160-3[details]
van Doorn, J. (organiser), Wagenmakers, E.-J. (organiser), Matzke, D. (organiser), Ly, A. (organiser) & Sarafoglou, A. (organiser) (26-8-2019 - 30-8-2019). Ninth Annual JAGS and WinBUGS Workshop: Bayesian Modeling for Cognitive Science (organising a conference, workshop, ...).
van Doorn, J. (organiser), Wagenmakers, E.-J. (organiser), Sarafoglou, A. (organiser) & Morey, R. D. (organiser) (22-8-2019 - 23-8-2019). Theory and Practice of Bayesian Hypothesis Testing (organising a conference, workshop, ...).
van Doorn, J. B. (organiser), Gronau, Q. F. (organiser), Etz, A. (organiser), Matzke, D. (organiser), Ly, A. (organiser) & Morey, R. D. (organiser) (27-8-2018 - 28-8-2018). Theory and Practice of Bayesian Hypothesis Testing, Amsterdam. Together with Johnny van Doorn, Quentin Gronau, Alexander Ly, and Richard Morey, part of the organizing committee for the fourth annual two–day JASP (…) (organising a conference, workshop, ...).
Wagenmakers, E. M. (organiser), Matzke, D. (organiser), Lee, M. (organiser), Ly, A. (organiser), van Doorn, J. B. (organiser) & Gronau, Q. F. (organiser) (20-8-2018 - 24-8-2018). Eight Annual JAGS and WinBUGS Workshop: Bayesian Modeling for Cognitive Science (organising a conference, workshop, ...).
Wagenmakers, E. M. (organiser), Gronau, Q. F. (organiser), Ly, A. (organiser), van Doorn, J. B. (organiser) & Matzke, D. (organiser) (28-8-2017 - 29-8-2017). Theory and Practice of Bayesian Hypothesis Testing: A JASP Workshop (organising a conference, workshop, ...). http://(https://jasp- stats.org/upcoming-events/jasp-workshop/
Wagenmakers, E. M. (organiser), Ly, A. (organiser), Gronau, Q. F. (organiser), van Doorn, J. B. (organiser), Matzke, D. (organiser) & Lee, M. (organiser) (21-8-2017 - 25-8-2017). Seventh Annual JAGS and WinBUGS Workshop: Bayesian Modeling for Cognitive Science (organising a conference, workshop, ...). http://bayescourse.socsci.uva.nl/index.php?src=hom e
Wagenmakers, E. M. (organiser), Matzke, D. (organiser), Selker, R. (organiser), van Doorn, J. B. (organiser) & Ly, A. (organiser) (2016). Theory and Practice of Bayesian Hypothesis Testing: A JASP Workshop (organising a conference, workshop, ...).
Wagenmakers, E. M. (organiser), Matzke, D. (organiser), Selker, R. (organiser), van Doorn, J. B. (organiser), Steingröver, H. M. (organiser), Lee, M. (organiser) & Ly, A. (organiser) (2016). Sixth Annual JAGS and WinBUGS Workshop: Bayesian Modeling for Cognitive Science (organising a conference, workshop, ...).
2021
van Doorn, J. B. (2021). Bayes factor hypothesis tests for ranks and researchers. [Thesis, fully internal, Universiteit van Amsterdam]. [details]
van Doorn, J., Wagenmakers, E.-J., Eric-Jan, W., Ly, A. & Marsman, M. (2016). Bayesian Inference for Kendall's Rank Correlation Coefficient. Taylor & Francis. https://doi.org/10.6084/m9.figshare.4452449
2015
Tio, P., Renkewitz, F., Bell, R., Selterman, D., Thomas, S. L., Martinez, T., Voracek, M., Van Doorn, J., Ostkamp, L., Galak, J., Pipitone, R. ., Epskamp, S., Hodsoll, J., Axt, J., Van Rijn, H., Bartmess, E., Strohminger, N., Beyan, L., Hung, C. O.-Y., … Scholz, S. (1-1-2015). Data from: Estimating the reproducibility of psychological science. Singapore Management University. https://doi.org/10.25440/smu.12062757.v1
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