Die vielen Gesichter von GESIS
Vita
Maximilian Linde is a Postdoc in the team "Transparent Social Analytics" in the department of "Computational Social Science" at "GESIS - Leibniz Institute for the Social Sciences".He has been doing his PhD (not yet awarded) on Bayesian statistics applied to biomedical research at the University of Groningen, The Netherlands. Before that, he completed a BSc in Psychology and a MSc in Behavioural and Cognitive Neurosciences, both at the University of Groningen.
Veröffentlichungen
Publikation
Zeitschriftenaufsatz
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. doi: https://doi.org/10.36850/mr10.
Linde, Maximilian. 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.
Vortrag
Beitrag nicht auf Konferenz
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.