| Estimating the reproducibility of psychological science Open Science Collaboration Science 349 (6251), aac4716, 2015 | 9182 | 2015 |
| Bayesian inference for psychology. Part II: Example applications with JASP EJ Wagenmakers, J Love, M Marsman, T Jamil, A Ly, J Verhagen, ... Psychonomic bulletin & review 25, 58-76, 2018 | 1552 | 2018 |
| The JASP guidelines for conducting and reporting a Bayesian analysis J Van Doorn, D Van Den Bergh, U Böhm, F Dablander, K Derks, T Draws, ... Psychonomic Bulletin & Review 28, 813-826, 2021 | 770 | 2021 |
| A tutorial on conducting and interpreting a Bayesian ANOVA in JASP D van den Bergh, J Van Doorn, M Marsman, T Draws, EJ Van Kesteren, ... L’Année psychologique 120 (1), 73-96, 2020 | 266 | 2020 |
| Seven easy steps to open science S Crüwell, J van Doorn, A Etz, MC Makel, H Moshontz, JC Niebaum, ... Zeitschrift für Psychologie, 2019 | 146 | 2019 |
| Bayesian inference for Kendall’s rank correlation coefficient J Van Doorn, A Ly, M Marsman, EJ Wagenmakers The American Statistician 72 (4), 303-308, 2018 | 118 | 2018 |
| Bayesian rank-based hypothesis testing for the rank sum test, the signed rank test, and Spearman's ρ J van Doorn, A Ly, M Marsman, EJ Wagenmakers Journal of Applied Statistics 47 (16), 2984-3006, 2020 | 116 | 2020 |
| Behavioural and neural evidence for self-reinforcing expectancy effects on pain M Jepma, L Koban, J van Doorn, M Jones, TD Wager Nature human behaviour 2 (11), 838-855, 2018 | 112 | 2018 |
| Bayesian inference in JASP: A guide for students M Goss-Sampson, J van Doorn, EJ Wagenmakers Jeffrey’s Amazing Statistics Program (JASP), 2020 | 76 | 2020 |
| Bayes factors for mixed models J Van Doorn, F Aust, JM Haaf, AM Stefan, EJ Wagenmakers Computational Brain & Behavior, 1-13, 2021 | 46 | 2021 |
| Multiple perspectives on inference for two simple statistical scenarios NNN van Dongen, JB van Doorn, QF Gronau, D van Ravenzwaaij, ... The American Statistician 73 (sup1), 328-339, 2019 | 41 | 2019 |
| Consensus-based guidance for conducting and reporting multi-analyst studies B Aczel, B Szaszi, G Nilsonne, OR Van Den Akker, CJ Albers, ... Elife 10, e72185, 2021 | 39 | 2021 |
| The Bayesian Methodology of Sir Harold Jeffreys as a Practical Alternative to the P Value Hypothesis Test A Ly, A Stefan, J van Doorn, F Dablander, D van den Bergh, A Sarafoglou, ... Computational Brain & Behavior 3, 153-161, 2020 | 31 | 2020 |
| The JASP guidelines for conducting and reporting a Bayesian analysis. PsyArXiv J Van Doorn, D van den Bergh, U Bohm, F Dablander, K Derks, T Draws, ... Preprint] DOI: https://doi. org/10.31234/osf. io/yqxfr, 2019 | 20 | 2019 |
| & Ly, A.(2019) J Van Doorn, D van den Bergh, U Bohm, F Dablander, K Derks, T Draws The JASP guidelines for conducting and reporting a Bayesian analysis, 0 | 17 | |
| Bayesian latent-normal inference for the rank sum test, the signed rank test, and Spearman’s ρ J van Doorn, A Ly, M Marsman, EJ Wagenmakers arXiv preprint arXiv:1712.06941, 2017 | 15 | 2017 |
| An in-class demonstration of Bayesian inference J van Doorn, D Matzke, EJ Wagenmakers Psychology Learning & Teaching 19 (1), 36-45, 2020 | 12 | 2020 |
| Bayesian Estimation of Kendall's tau Using a Latent Normal Approach J van Doorn, A Ly, M Marsman, EJ Wagenmakers Statistics and Probability Letters, 2018 | 9 | 2018 |
| A Bayesian perspective on Biogen's aducanumab trial AGM Temp, A Ly, J van Doorn, EJ Wagenmakers, Y Tang, MW Lutz, ... Alzheimer's & Dementia 18 (11), 2341-2351, 2022 | 6 | 2022 |
| Network models to organize a dispersed literature: the case of misunderstanding analysis of covariance K Derks, J Burger, J van Doorn, JJ Kossakowski, D Matzke, L Atticciati, ... Journal of European Psychology Students 9 (1), 48-57, 2018 | 6 | 2018 |
