| 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 (3), 813-826, 2021 | 1260 | 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 | 393 | 2020 |
| A tutorial on Bayes Factor Design Analysis using an informed prior AM Stefan, QF Gronau, FD Schönbrodt, EJ Wagenmakers Behavior research methods 51 (3), 1042-1058, 2019 | 300 | 2019 |
| Big little lies: a compendium and simulation of p-hacking strategies AM Stefan, FD Schönbrodt Royal Society Open Science 10 (2), 220346, 2023 | 181 | 2023 |
| Bayes factors for mixed models J van Doorn, F Aust, JM Haaf, AM Stefan, EJ Wagenmakers Computational Brain & Behavior, 1-13, 2021 | 68 | 2021 |
| Practical challenges and methodological flexibility in prior elicitation. AM Stefan, NJ Evans, EJ Wagenmakers Psychological Methods 27 (2), 177, 2022 | 57 | 2022 |
| 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 (2), 153-161, 2020 | 49 | 2020 |
| Bayesian hierarchical modeling: An introduction and reassessment M Veenman, AM Stefan, JM Haaf Behavior Research Methods 56 (5), 4600-4631, 2024 | 48 | 2024 |
| BFDA: An R package for Bayes factor design analysis (version 0.4. 0) FD Schönbrodt, AM Stefan | 46 | 2018 |
| Expert agreement in prior elicitation and its effects on Bayesian inference A Stefan, D Katsimpokis, QF Gronau, EJ Wagenmakers Psychonomic Bulletin & Review, 2022 | 39 | 2022 |
| Robust standards in cognitive science S Crüwell, AM Stefan, NJ Evans Computational Brain & Behavior 2 (3), 255-265, 2019 | 33 | 2019 |
| Efficiency in sequential testing: Comparing the sequential probability ratio test and the sequential Bayes factor test AM Stefan, FD Schönbrodt, NJ Evans, EJ Wagenmakers Behavior Research Methods 54 (6), 3100-3117, 2022 | 26 | 2022 |
| Bayesian sample size planning for developmental studies I Visser, Š Kucharský, C Levelt, AM Stefan, EJ Wagenmakers, L Oakes Infant and Child Development 33 (1), e2412, 2024 | 11 | 2024 |
| Bayes factors for mixed models: Perspective on responses J van Doorn, F Aust, JM Haaf, AM Stefan, EJ Wagenmakers Computational Brain & Behavior 6 (1), 127-139, 2023 | 9 | 2023 |
| Alternative models of funding curiosity-driven research G Gigerenzer, C Allen, S Gaillard, RL Goldstone, J Haaf, WR Holmes, ... Proceedings of the National Academy of Sciences 122 (5), e2401237121, 2025 | 7* | 2025 |
| Interim design analysis using Bayes factor forecasts. AM Stefan, QF Gronau, EJ Wagenmakers Psychological Methods, 2024 | 7 | 2024 |
| The predictive power of insomnia symptoms on other aspects of mental health during the COVID‐19 pandemic: a longitudinal study GG Werner, B Cludius, P Sckopke, A Stefan, F Schönbrodt, ... Journal of Sleep Research 32 (1), e13641, 2023 | 7 | 2023 |
| A two-stage Bayesian sequential assessment of exploratory hypotheses AM Stefan, LL Lengersdorff, EJ Wagenmakers Collabra: Psychology 8 (1), 40350, 2022 | 7 | 2022 |
| Bayes factors for mixed models: A discussion J van Doorn, JM Haaf, AM Stefan, EJ Wagenmakers, GE Cox, ... Computational Brain & Behavior 6 (1), 140-158, 2023 | 6 | 2023 |
| Developing prior distributions for Bayesian meta-analyses K McKinney, AM Stefan, QF Gronau PsyArXiv, 2021 | 5 | 2021 |
Eric-Jan WagenmakersUniversity of AmsterdamVerified email at uva.nl
