About:

After previously being a student assistant to Prof. Monika Schnitzer (Economics, LMU Munich), Prof. Christoph Trebesch (Economics, LMU) jointly with Prof. Carmen Reinhart (Economics, Harvard) and Dr. Mark L. J. Wright (Economics, Federal Reserve Bank of Chicago), Prof. Christian Heumann (Statistics, LMU), and Prof. Bernd Bischl (Statistics, LMU), I started my PhD at the working group Biometry in Molecular Medicine (led by Prof. Anne-Laure Boulesteix) in March 2020. My main focus of research is on researcher degrees of freedom and p-hacking.

I obtained a Bachelor's degree (B.Sc.) in Economics, a Master's degree (M.Sc.) in Biostatistics, and a Master's degree (M.A.) in Philosophy from the Ludwig-Maximilians-University Munich. In addition, I obtained a Master's degree (M.Sc.) in Statistics from the London School of Economics.

Research Interests:

Researcher degrees of freedom
P-hacking and fishing expeditions
Multiplicity and uncertainties

Publications:

Submitted

• Mandl M. M., Becker-Pennrich A.S., Hinske L.C., Hoffmann S., Boulesteix A.-L. (2024). Addressing researcher degrees of freedom through minP adjustment. arXiv: https://arxiv.org/abs/2401.11537.
  

• Becker-Pennrich, A. S., Mandl, M. M., Rieder, C., Hoechter, D. J., Dietz, K., Geisler, B. P., Boulesteix, A.-L., Tomasi, R. & Hinske, L. C. (2022). Comparing supervised machine learning algorithms for the prediction of partial arterial pressure of oxygen during craniotomy. medRxiv: https://doi.org/10.1101/2022.06.07.22275483.

Published

• Mandl M. M., Hoffmann S., Bieringer S., Jacob A., Kraft M., Lemster S., Boulesteix A.-L. (2024). Raising awareness of uncertain choices in empirical data analysis: a teaching concept towards replicable research practices. PLOS Computational Biology (accepted).
• Seibold H., Nalenz M., Mandl M. et al. (2021). A computational reproducibility study of PLOS ONE articles featuring longitudinal data analyses. PLOS ONE, 16(6), e0251194. https://doi.org/10.1371/journal.pone.0251194