Staff

Journal article

Linde, Maximilian, Jorge N. Tendeiro, Eric-Jan Wagenmakers, and Don van Ravenzwaaij. 2024. "Practical implications of equating equivalence tests: Reply to Campbell and Gustafson (2022)." Psychological Methods 29 (3): 603-605. doi: https://doi.org/10.1037/met0000549.

Linde, Maximilian, Merle-Marie Pittelkow, Nina R. Schwarzbach, and Don van Ravenzwaaij. 2024. "Reputation without practice: A dynamic computational model of the unintended consequences of open scientist reputations." Journal of Trial and Error 4 (1): 82-110. doi: https://doi.org/10.36850/mr10.

Pittelkow, Merle-Marie, Maximilian Linde, Ymkje Anna de Vries, Lars G. Hemkens, Andreas M. Schmitt, Rob R. Meijer, and Don van Ravenzwaaij. 2024. "Strength of statistical evidence for the efficacy of cancer drugs: A Bayesian reanalysis of randomized trials supporting Food and Drug Administration approval." Journal of Clinical Epidemiology 174 (October 2024): 111479. doi: https://doi.org/10.1016/j.jclinepi.2024.111479.

Heck, D.W., U. Boehm, F. Böing-Messing, P. C. Bürkner, K. Derks, Z. Dienes, Q. Fu, X. Gu, D. Karimova, H. A. L. Kiers, I. G. Klugkist, R. M. Kuiper, M. D. Lee, R. Leenders, H. J. Leplaa, Maximilian Linde, A. Ly, M. Meijerink-Bosman, M. Moerbeek, J. Mulder, B. Palfi, F. D. Schönbrodt, J. N. Tendeiro, D. van den Bergh, C. van Lissa, D. van Ravenzwaaij, W. Vanpaemel, E.-J. Wagenmakers, D. R. Williams, M. Zondervan-Zwijnenburg, and H. Hoijtink. 2023. "A review of applications of the Bayes factor in psychological research." Psychological Methods 28 (3): 558-579. doi: https://doi.org/10.1037/met0000454.

Linde, Maximilian, and Don van Ravenzwaaij. 2023. "Bayes factor model comparisons across parameter values for mixed models." Computational Brain & Behavior 6 (1): 14-27. doi: https://doi.org/10.1007/s42113-021-00117-y.

van Doorn, Johnny, Julia M. Haaf, Angelika M. Stefan, Eric-Jan Wagenmakers, Gregory Edward Cox, Clintin P. Davis-Stober, Andrew Heathcote, Daniel W. Heck, Michael Kalish, David Kellen, Dora Matzke, Richard D. Morey, Bruno Nicenboim, Don van Ravenzwaaij, Jeffrey N. Rouder, Daniel J. Schad, Richard M. Shiffrin, Henrik Singmann, Shravan Vasishth, João Veríssimo, Florence Bockting, Suyog Chandramouli, John C. Dunn, Quentin F. Gronau, Maximilian Linde, Sara D. McMullin, Danielle Navarro, Martin Schnuerch, Himanshu Yadav, and Frederik Aust. 2023. "Bayes factors for mixed models: A discussion." Computational Brain & Behavior 6 (1): 140-158. doi: https://doi.org/10.1007/s42113-022-00160-3.

Linde, Maximilian, and Don van Ravenzwaaij. 2023. "baymedr: an R package and web application for the calculation of Bayes factors for superiority, equivalence, and non-inferiority designs." BMC Medical Research Methodology 23 (24 November 2023): 279. doi: https://doi.org/10.1186/s12874-023-02097-y.

Linde, Maximilian, Jorge N. Tendeiro, Ravi Selker, Eric-Jan Wagenmakers, and Don van Ravenzwaaij. 2023. "Decisions about equivalence: A comparison of TOST, HDI-ROPE, and the Bayes factor." Psychological Methods 28 (3): 740-755. doi: https://doi.org/10.1037/met0000402.

Neumann, Marvin, A. Susan M. Niessen, Maximilian Linde, Jorge N. Tendeiro, and Rob R. Meijer. 2023. "“Adding an egg” in algorithmic decision making: improving stakeholder and user perceptions, and predictive validity by enhancing autonomy." European Journal of Work and Organizational Psychology (33): 245-262. doi: https://doi.org/10.1080/1359432X.2023.2260540.

Presentation not at a conference

Linde, Maximilian. 2023. "Bayesian statistics: A gentle introduction." Guest lecture for the Master course Advanced Organisational Research Skills at Vrije Universiteit Amsterdam, online, 2023-11-08.

Event

Linde, Maximilian, Gabriella Lapesa, and Danica Radovanović. 2024. "Reflecting on Research Workflows Across Disciplines." MethodsNET Conference, Université catholique de Louvain, 2024-10-30 - 2024-11-01.