Johannes Brachem
Statistics PhD student
Research
- Conditional Transformation Regression Models
Software
- alfred3 – A Library for Rapid Experiment Development [Python library] https://github.com/ctreffe/alfred
- alfred3-interact – Interactive web-experiments in alfred3 [Python library] https://github.com/jobrachem/alfred3-interact
- skewsamp – Sample size estimation for group comparisons with skewed data [R package] https://github.com/jobrachem/skewsamp
Publications
- Brachem, J., Frank, M., Kvetnaya, T., Schramm, L. F. F., & Volz., L. (2022). Replikationskrise, p-hacking und Open Science – Eine Umfrage zu fragwürdigen Forschungspraktiken in studentischen Projekten und Impulse für die Lehre. Psychologische Rundschau, 73(1), 1-17. https://doi.org/10.1026/0033-3042/a000562
- Brachem, J., & Rothe, A. (2021). Stop removing stop words – An evaluation of preprocessing techniques for Twitter sentiment analysis with a deep learning approach. In R.-M. Kruse, B. Säfken, A. Silbersdorff, C. Weisser (Eds.), Learning deep textwork – Perspectives on natural language processing and artificial intelligence (pp. 37 – 53). Universitätsverlag Göttingen. https://doi.org/10.17875/gup2021-1608
Teaching
Summer Term 2022
- Modul B.WIWI-QMW.0001: Lineare Modelle (Übung)