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
Preprints
Sauzet, O., Dyck, J., Cornelius, V. (2024)
"Optimal significance levels and sample sizes for signal detection methods based on non‑constant hazards" Drug Safety, in press
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
Dyck, J., Koslik, J.-O., Sauzet, O. (2023)
"EgoCor: an R package to fit exponential semi-variograms to model the local spatial correlation structure of health outcomes." arXiv:2309.12979
"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)