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Results: 410
Number of items: 410
  • Open Access
    Derks, K., de Swart, J., Wagenmakers, E.-J., Wille, J., & Wetzels, R. (2021). JASP for Audit: Bayesian Tools for the Auditing Practice. The Journal of Open Source Software, 6(68), Article 2733. https://doi.org/10.21105/joss.02733
  • Open Access
    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
  • Open Access
    Manning, C., Wagenmakers, E.-J., Norcia, A. M., Scerif, G., & Böhm, U. (2021). Perceptual Decision-Making in Children: Age-Related Differences and EEG Correlates. Computational Brain & Behavior, 4(1), 53-69. https://doi.org/10.31234/osf.io/jwsmb, https://doi.org/10.1007/s42113-020-00087-7
  • Open Access
    Gronau, Q. F., Raj, A. K. N., & Wagenmakers, E.-J. (2021). Informed Bayesian Inference for the A/B Test. Journal of Statistical Software, 100(17). https://doi.org/10.18637/jss.v100.i17
  • Open Access
    Shiffrin, R. M., Matzke, D., Crystal, J. D., Wagenmakers, E.-J., Chandramouli, S. H., Vandekerckhove, J., Zorzi, M., Morey, R. D., & Murphy, M. C. (2021). Extraordinary claims, extraordinary evidence? A discussion. Learning and Behavior, 49(3), 265-275. https://doi.org/10.3758/s13420-021-00474-5
  • Open Access
    Hulme, O. J., Wagenmakers, E. J., Damkier, P., Madelung, C. F., Siebner, H. R., Helweg-Larsen, J., Gronau, Q. F., Benfield, T. L., & Madsen, K. H. (2021). A Bayesian reanalysis of the effects of hydroxychloroquine and azithromycin on viral carriage in patients with COVID-19. PLoS ONE, 16(2), Article e0245048. https://doi.org/10.1371/journal.pone.0245048
  • Open Access
    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
  • Open Access
    Verschuere, B., De Schryver, M., van den Bergh, D., Wagenmakers, E.-J., & Meijer, E. (2021). Are dishonest politicians more likely to be reelected? A Bayesian view. Proceedings of the National Academy of Sciences of the United States of America, 118(6), Article e2022718118. https://doi.org/10.1073/pnas.2022718118
  • Open Access
    Bartoš, F., Gronau, Q. F., Timmers, B., Otte, W. M., Ly, A., & Wagenmakers, E.-J. (2021). Bayesian model-averaged meta-analysis in medicine. Statistics in Medicine, 40(30), 6743-6761. https://doi.org/10.1002/sim.9170
  • Open Access
    Dutilh, G., Sarafoglou, A., & Wagenmakers, E.-J. (2021). Flexible Yet Fair: Blinding Analyses in Experimental Psychology. Synthese, 198(Supplement issue 23), 5745-5772. https://doi.org/10.31234/osf.io/d79r8, https://doi.org/10.1007/s11229-019-02456-7
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