3 papers
stat.OT2026
Making Uncertainty Visible: Multiverse Analysis for Robust Computational Social Science
Maximilian Linde, Jun Sun, Paul Balluff +2
Through case studies, we demonstrate how multiverse analysis can strengthen the robustness and transparency of computational social science findings against alternative methodologi…
cs.CL2026
Who and What? Using Linguistic Features and Annotator Characteristics to Analyze Annotation Variation
Maximilian Maurer, Maximilian Linde, Gabriella Lapesa
Human label variation has been established as a central phenomenon in NLP: the perspectives different annotators have on the same item need to be embraced. Data collection practice…
stat.OT2019
baymedr: An R Package and Web Application for the Calculation of Bayes Factors for Superiority, Equivalence, and Non-Inferiority Designs
Maximilian Linde, Don van Ravenzwaaij
Clinical trials often seek to determine the superiority, equivalence, or non-inferiority of an experimental condition (e.g., a new drug) compared to a control condition (e.g., a pl…