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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.
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Veröffentlichungen

Publikation

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Zeitschriftenaufsatz

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 (1): 279. doi: https://doi.org/10.1186/s12874-023-02097-y.