Statistik: mehr als Erbsen zählen

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Workshop : Retreat

Retreat 2021
Group photo of the members of the RTG, taken at the 2021 retreat.




  • Retreat

    Date and Time: 05.09-06.09.2022

  • Retreat

    Date : 23.09.-24.09.2021

  • Workshop “Joy of P-Splines”

    Speaker : Prof. Brian D. Marx , Department of Experimental Statistics Louisiana State University

    Date : 05.07-06.07.2021


  • "The title of the talk will be announced soon!"

    Speaker: Prof. Dr. Marvin N. Wright, Leibniz-Institut für Präventionsforschung und Epidemiologie – BIPS, Bremen

    Date and Time: 04.07.2022

  • Issues in supervised prediction and classification for complex chemical substances

    Speaker: Prof. Fred Wright, Ph.D., Departments of Statistics and Biological Sciences, North Carolina State University, USA

    Date and Time: 27.06.2022, TU Dortmund, M/E 21

  • "The title of the talk will be announced soon!"

    Speaker: Prof. Dr. sc. hum. Oliver Kuß, Deutsches Diabetes-Zentrum, Düsseldorf

    Date and Time: 20.06.2022 via Zoom

  • Gene expression to Omics: The evolution of genetic research

    Speaker: Ashtyn Areal, IUF Düsseldorf

    Date and Time: 30.05.2022, TU Dortmund, M/E 21

  • Analysis and design of clinical trials with biologics using dose-time-response models

    Speaker: Markus Lange, Novartis

    Date and Time: 23.05.2022 via Zoom

  • The case time series design for high-dimensional data analyses

    Speaker: Prof. Antonio Gasparrini, London School of Hygiene and Tropical Medicine, London, UK

    Date and Time: 16.05.2022 via Zoom

  • Mehrstadien-Modelle in der Epidemiologie chronischen Erkrankungen

    Speaker: Prof. Dr. rer. nat. Ralph Brinks , Lehrstuhl für Medizinische Biometrie und Epidemiologie, Private Universität Witten/Herdecke gGmbH

    Date and Time: 09.05.2022 at 16:15 via Zoom


  • Can statistics save preclinical research?

    Speaker: Prof. Dr. med. Ulrich Dirnagl, Abteilungsdirektor Experimentelle Neurologie, Charité Berlin

    Date and Time: 06.12.2021 at 16:15 via Zoom

  • Dose-response analysis for gene-expression data

    (Click to see abstract)

    Advances in genomics bring forward increasingly large omics data sets, such that even concentration-resolved gene expression data are available. We transfer well established dose-response theory from clinical research to toxicological gene expression data.

    Multiple-Comparison-Procedure and Modeling (MCP-Mod) is a relatively new dose-response modeling technique developed for Phase II clinical dose-finding trials that accounts for model uncertainty. By applying MCP-Mod on a concentration-resolved gene expression data set, we find that commonly assumed monotonicity is not adequate and model uncertainty should be considered.

    Speaker: Scott S. Auerbach, PhD, und Matt Wheeler, PHD, Institute of Environmental Health Sciences, Durham, NC, USA

    Date and Time: 29.11.2021 at 16:15 via Zoom

  • Good Scientific Practise for Doctoral Researchers

    Speaker: Dr. Peter Schröder, brain4hire, Graduiertenzentrum TU Dortmund

    Date and Time: 15.11.2021 at 16:15 via Zoom

  • Recent extensions on boosting for statistical modelling

    Speaker: Prof. Dr. Andreas Mayr, Head of WG Statistical Methods in Epidemiology, Universität Bonn

    Date and Time: 25.10.2021 at 16:15 via Zoom

  • Polygenic risk scores – Applicability beyond risk prediction and for different omics data

    Speaker: Anke Hüls, PhD, MSc, Assistant Professor, Department of Epidemiology and Gangarosa Department of Environmental Health, Emory University

    Date and Time: 05.08.2021 at 16:15 via Zoom

  • Advances in dose-response analysis

    Speaker: Prof. Christian Ritz , National Institute of Public Health,Copenhagen

    Date and Time: 28.06.2021 at 16:15 via Zoom