baymedr: an R package and web application for the calculation of Bayes factors for superiority, equivalence, and non-inferiority designs von Linde, Maximilian, van Ravenzwaaij, Don

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A simple introduction to Markov Chain Monte–Carlo sampling von van Ravenzwaaij, Don, Cassey, Pete, Brown, Scott D.

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A simulation study of the strength of evidence in the recommendation of medications based on two trials with statistically significant results von van Ravenzwaaij, Don, Ioannidis, John P A

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Credible Confidence: A Pragmatic View on the Frequentist vs Bayesian Debate von Albers, Casper J., Kiers, Henk A. L., van Ravenzwaaij, Don

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When and Why to Replicate: As Easy as 1, 2, 3? von Field, Sarahanne M, Hoekstra, Rink, Bringmann, Laura, van Ravenzwaaij, Don

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The effect of preregistration on trust in empirical research findings: results of a registered report von Field, Sarahanne M., Wagenmakers, E. -J., Kiers, Henk A. L., Hoekstra, Rink, Ernst, Anja F., van Ravenzwaaij, Don

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The role of results in deciding to publish: A direct comparison across authors, reviewers, and editors based on an online survey von Muradchanian, Jasmine, Hoekstra, Rink, Kiers, Henk, van Ravenzwaaij, Don

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Sample Size Justification von Lakens, Daniël

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Bayesian reanalysis of null results reported in medicine: Strong yet variable evidence for the absence of treatment effects von Hoekstra, Rink, Monden, Rei, van Ravenzwaaij, Don, Wagenmakers, Eric-Jan

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Comparing researchers’ degree of dichotomous thinking using frequentist versus Bayesian null hypothesis testing von Muradchanian, Jasmine, Hoekstra, Rink, Kiers, Henk, Fife, Dustin, van Ravenzwaaij, Don

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Bayes factors for superiority, non-inferiority, and equivalence designs von van Ravenzwaaij, Don, Monden, Rei, Tendeiro, Jorge N, Ioannidis, John P A

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Strength of statistical evidence for the efficacy of cancer drugs: a Bayesian reanalysis of randomized trials supporting Food and Drug Administration approval von Pittelkow, Merle-Marie, Linde, Maximilian, de Vries, Ymkje Anna, Hemkens, Lars G., Schmitt, Andreas M., Meijer, Rob R., van Ravenzwaaij, Don

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Comparing the evidential strength for psychotropic drugs: a Bayesian meta-analysis von Pittelkow, Merle-Marie, de Vries, Ymkje Anna, Monden, Rei, Bastiaansen, Jojanneke A., van Ravenzwaaij, Don

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True and false positive rates for different criteria of evaluating statistical evidence from clinical trials von van Ravenzwaaij, Don, Ioannidis, John P A

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The Quality of Response Time Data Inference: A Blinded, Collaborative Assessment of the Validity of Cognitive Models von Dutilh, Gilles, Annis, Jeffrey, Brown, Scott D., Cassey, Peter, Evans, Nathan J., Grasman, Raoul P. P. P., Hawkins, Guy E., Heathcote, Andrew, Holmes, William R., Krypotos, Angelos-Miltiadis, Kupitz, Colin N., Leite, Fábio P., Lerche, Veronika, Lin, Yi-Shin, Logan, Gordon D., Palmeri, Thomas J., Starns, Jeffrey J., Trueblood, Jennifer S., van Maanen, Leendert, van Ravenzwaaij, Don, Vandekerckhove, Joachim, Visser, Ingmar, Voss, Andreas, White, Corey N., Wiecki, Thomas V., Rieskamp, Jörg, Donkin, Chris

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Replication Target Selection in Clinical Psychology: A Bayesian and Qualitative Reevaluation von Pittelkow, Merle-Marie, Hoekstra, Rink, Karsten, Julie, van Ravenzwaaij, Don

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How to use the diffusion model: Parameter recovery of three methods: EZ, fast-dm, and DMAT von van Ravenzwaaij, Don, Oberauer, Klaus

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Worked-out examples of the adequacy of Bayesian optional stopping von Tendeiro, Jorge N., Kiers, Henk A. L., van Ravenzwaaij, Don

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Rethinking remdesivir for COVID-19: A Bayesian reanalysis of trial findings von Hoek, Joyce M., Field, Sarahanne M., de Vries, Ymkje Anna, Linde, Maximilian, Pittelkow, Merle-Marie, Muradchanian, Jasmine, van Ravenzwaaij, Don

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When numbers fail: do researchers agree on operationalization of published research? von Haucke, Matthias, Hoekstra, Rink, van Ravenzwaaij, Don

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