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Johnny van Doorn
Johnny van Doorn
Verified email at uva.nl
Title
Cited by
Cited by
Year
Estimating the reproducibility of psychological science
Open Science Collaboration
Science 349 (6251), aac4716, 2015
94032015
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
15312018
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
8522021
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
2762020
Seven easy steps to open science
S Crüwell, J van Doorn, A Etz, MC Makel, H Moshontz, JC Niebaum, ...
Zeitschrift für Psychologie, 2019
1582019
& Morey, RD (2018). 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 (1), 58-76, 0
137
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
1302020
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
1282018
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
1172018
Bayesian inference in JASP: A guide for students
M Goss-Sampson, J van Doorn, EJ Wagenmakers
Jeffrey’s Amazing Statistics Program (JASP), 2020
832020
Bayes factors for mixed models
J Van Doorn, F Aust, JM Haaf, AM Stefan, EJ Wagenmakers
Computational Brain & Behavior, 1-13, 2021
492021
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
442021
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
412019
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
312020
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
202019
& 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
16
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
152017
An in-class demonstration of Bayesian inference
J van Doorn, D Matzke, EJ Wagenmakers
Psychology Learning & Teaching 19 (1), 36-45, 2020
112020
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
92018
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
72022
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Articles 1–20