Statistics and Data Analysis Group

Julia Dyck (M.Sc.)

Research associate (PhD student)

Room: V9-128
Phone: +49 521 106-4885
E-mail: j.dyck@uni-bielefeld.de

Short CV

• Since 03/2021: PhD student in the Statistics and Data Analysis Group
• 10/2018 – 02/2021: Studies of Statistical Science (M.Sc.) at Bielefeld University
• 10/2017 – 09/2018: Studies of Mathematical Economics (M.Sc.) at Bielefeld University
• 10/2014 – 09/2017: Studies of Mathematical Economics (B.Sc.) at Bielefeld University

Publications & preprints

• Childs, A., Feldmann, C., Dyck, J., Stöhr, S., Twiss, S., Krüger, O. (2025)
  "Weaning age and supersuckling in Galápagos Sea Lions (Zalophus wollebaeki): Maternal, offspring and environmental drivers of life-history strategies"
  EcoEvoRxiv:10.32942/X2FK9X
• Dyck, J., Koslik, J.-O., Sauzet, O. (2025) 
  "EgoCor: An R package to facilitate the use of exponential semi-variograms for modelling the local spatial correlation structure in social epidemiology"
  Journal of Open Research Software, 13, 1
• Sauzet, O., Dyck, J., Cornelius, V. (2024)
  "Optimal significance levels and sample sizes for signal detection methods based on non‑constant hazards"
  Drug Safety, 47, 11
• Dyck, J., Sauzet, O. (2022)
  "Parameter uncertainty estimation for exponential semi-variogram models: Two generalized bootstrap methods with check- and quantile-based filtering" 
  arXiv:2202.05752

Software

• Dyck, J., Sauzet, O. (2025). BWSPsignal: Bayesian Weibull Shape Parameter Tests For Signal Detection.
  https://github.com/julia-dyck/BWSPsignal
• Dyck, J., Sauzet, O., Koslik, J. (2022). EgoCor: Simple Presentation of Estimated Exponential Semi-Variograms. R package. https://CRAN.R-project.org/package=EgoCor

Talks

• "Bayesian survival analysis for signal detection of adverse drug reactions", Statistics Seminar Series, Bielefeld, April 2024 
• "Signal detection of adverse drug reactions: The Bayesian power generalized Weibull shape parameter test", 5th Conference of the Central European Network, Basel, September 2023
• "Bayesian survival analysis for signal detection of adverse drug reactions", 11th Young Researchers Workshop of the Centre for Statistics, Bielefeld, November 2022
• "Parameter uncertainty estimation for exponential semi-variogram models", Statistical Computing Conference, Günzburg, July 2022
• "Parameter uncertainty estimation for exponential semi-variogram models", DaGStat Conference Talklet, March 2022
• "Bayesian survival analysis for signal detection of adverse drug reactions", 10th Young Researchers Workshop of the Centre for Statistics, Bielefeld, March 2022
• "Parameter uncertainty estimation for exponential semi-variogram models ", Statistics Seminar Series, Bielefeld, November 2021

Posters

• "Bayesian time-to-event test for signal detection", 9th Survival Analysis for Junior Researchers conference, September 2023 

Teaching

• Seminar on "Daten in den Medien - Information versus Manipulation“ (summer terms 2023 & 2024) 
• "Statistical Consulting" (winter terms 2022/23 & 2023/24)
• Practicals for the lecture course "Mathematik I" and „Mathematik II“ (2022-2024)
• R block courses: "Introduction to R" and "Good Practices in R" (2021-2024)
• Statistical part of the lecture course „Einführung in Epidemiologie und Biostatistik“ (winter term 2021/22)
• Practicals for the lecture course „Generalised Linear Models“ (winter term 2024/25)
• Practicals for the lecture course „Hidden Markov Models“ (winter term 2021/22)
• Tutorials for the lecture courses „Statistik I“, „Statistik II“ and „Angewandte Statistik“ (2017-2018)
• Tutorial for the lecture course „Analysis I“ (winter term 2016/17)
• Tutorials for the lecture course „Mathematik für Biologen und Biotechnologen“ (summer terms 2016 & 2017)