Prof. Dr. Katja Ickstadt
Room: M/733
Phone: 0231 / 755 - 3111
Fax: 0231 / 755 - 5303
E-Mail: ickstadtstatistik.tu-dortmundde
Address:
Fakultät Statistik
Vogelpothsweg 87
D-44227 Dortmund
Office hours: by arrangement
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Information for
Part of:
Department of StatisticsYou are here:
Room: M/733
Phone: 0231 / 755 - 3111
Fax: 0231 / 755 - 5303
E-Mail: ickstadtstatistik.tu-dortmundde
Address:
Fakultät Statistik
Vogelpothsweg 87
D-44227 Dortmund
Office hours: by arrangement
A complete overview of the publications can be found here.
Falk Hemker, Timo Haselhoff, Susanne Brunner, Bryce T. Lawrence, Katja Ickstadt, Susanne Moebus. The role of traffic volume on sound pressure level reduction before and during COVID-19 lockdown measures in Bochum, Germany, 2023, Environmental Science and Engineering.
S. M. Seyedpour, C. Henning, P. Kirmizakis, S. Herbrandt, K. Ickstadt, R. Doherty and T. Ricken. Uncertainty with Varying Subsurface Permeabilities Reduced Using Coupled Random Field and Extended Theory of Porous Media contaminant transport models, Water 2023, 15(1), 159. doi.
org/ 10.3390/w15010159Weber, F., Ickstadt, K., & Glass, E. (2022). shinybrms: Fitting Bayesian regression models using a graphical user interface for the R package brms, The R Journal, 14/(2), 96-120. https://doi.org/10.32614/RJ-2022-027
Sarah Friedrich, Andreas Groll, Katja Ickstadt, Thomas Kneib, Markus Pauly, Jörg Rahnenführer, Tim Friede, Regularization approaches in clinical biostatistics: A review of methods and their applications, Statistical Methods in Medical Research, SAGE journals, 2022, https://doi.org/10.1177/09622802221133557
Jonas Kupschus, Stefan Janssen, Andreas Hoek, Jan Kuska, Jonathan Rathjens, Carsten Sonntag, Katja Ickstadt et al. Rapid detection and online analysis of microbial changes through flow cytometry, Cytometry: Part A , Volume 101 - Issue 12, 2022, https://doi.org/10.1002/cyto.a.24704
D. Djeudeu, S. Moebus, K. Ickstadt, Multilevel conditional autoregressive models for longitudinal and spatially referenced epidemiological data, Spatial and Spatio-temporal Epidemiology, Volume 41, 2022, 100477, ISSN 1877-5845, https://doi.org/10.1016/j.sste.2022.100477.
Silvia Chines, Christiane Ehrt, Marco Potowski,Katja Ickstadt, Susanne Brunner, et al. Navigating Chemical Reaction Space - Application to DNA-encoded Chemistry. Chemical Science, 2022, DOI: 10.1039/D2SC02474H.
Djeudeu, D. (2022). spatial and spatio-temporal regression modeling with conditional autoregressive random effects for epidemiological and spatially referenced data
(Publisher's Version) [Dortmund University Library]. doi.
org/10.17877/de290r-22855Ickstadt, K., Müller, H., & Weinert, H. (2022). Data literacy. In C. Weihs (Ed.), Statistical data analysis in journalism
(Publisher's Version, 1st ed., pp. 29-42). Springer VS. doi.
org/10.1007/978-3-662-64693-9_3Ickstadt, K., Pauly, M., Motta, M., Herbrandt, S., Moroff, N., Niemann, F., Henke, M., & Ten Hompel, M. (2022). Artificial intelligence learning methods for data valorization: automated detection and prediction. In M. Ten Hompel, M. Henke, & B. Otto (Eds.), Silicon Economy
(Publisher's Version, pp. 229-250). Springer Vieweg. doi.
org/10.1007/978-3-662-63956-6_11Thomas, M., Bornkamp, B., & Ickstadt, K. (2022). Identifying treatment effect heterogeneity in dose-finding trials using Bayesian hierarchical models. Pharmaceutical Statistics, 21
(1), 17-37. doi.
org/10.1002/pst.2150Summer term 2023
Professional Colloquium(LSF)
Summer term 2022
Winter term 2021/2022
Summer term 2021