International Medical Services
Autumn Workshop 2023
Invitation and Programme
Dear colleagues
We are happy to announce the 11th autumn workshop by the cooperating working groups of DGEpi (German Society for Epidemiology), GMDS (German Association for Medical Informatics, Biometry and Epidemiology), IBS-DR (German Region of the International Biometric Society) and DGSMP (German Society for Social Medicine and Prevention).
About the workshop:
Our two-day workshop (9 November 2023, 13:00-18:00, 10 November 2023 9:00-13:00) about
Causal Machine Learning
will be at the Institute of Medical Biostatistics, Epidemiology and Informatics in Mainz.
Rhabanusstraße 3, Turm A
55118 Mainz
Room 21.9 (Level 21)
Programme
Thursday 09.11.2023
12.30 | Gettogether |
13:00 | Opening |
13:15 | Introduction (Chair: Philipp Mildenberger & Irene Schmidtmann) Uwe Siebert: Introduction to Causal Inference |
14:45 | Break |
15:00 | Invited Session (Chair: Nicole Rübsamen) Noemi Kreif: What is the place of machine learning in causal inference? |
16:00 | Break |
16:30 | Challenges in Causal Inference (Chair: Stella Erdmann) Christine Bang: Improving causal discovery for cohort data Sophie Hanna Langbein, Marvin N. Wright: Interpretable Machine Learning for Survival Analysis Maria Geers, Vanessa Didelez: Estimating and interpreting causal effects under violation of positivity |
18:00 | End of session |
19:30 | Dinner at a „Weinstube“ in Mainz (at your own expenses) |
Friday 10.11.2023
9:00 | AG Sitzung (Hybrid mit Wahlen von 3 AGs) |
9:30 | Invited Session (Chair: Tim Mori) Nick Latimer: Using causal inference for the design and analysis of clinical trials and disease registries |
10:30 | Break |
11:00 | Precision Medicine - Causal inference and evaluation of AI in neuroradiology protocols (Chair: Kerstin Rubarth) Tim Mori, Julia Grimsmann, Reinhard W. Holl, Oliver Kuß: SGLT2-i or GLP-1-RA? Leveraging Real-World Evidence to Determine Optimal Individualized Treatment Decisions for Cardiovascular Protection Roman Paul, Ahmed E. Othman, Sebastian Altmann, Irene Schmidtmann: Power and Sample Size Estimation for Comparing Diagnostic Methods with Imperfect Reference Standards |
12:00 | Break |
12:30 | Uwe Siebert, Nicholas Latimer, Noemi Kreif: Practical Steps of Implementing Causal Inference and Machine Learning |
13:30 | End |
We have invited two experts who will give keynote lectures:
- Nicholas Latimer (https://www.sheffield.ac.uk/smph/nicholas-latimer) is professor of health economics. His research interests focus on economic evaluation methodology, with a particular emphasis on the incorporation of survival analysis within economic models. He is especially interested in the use of causal inference methods to estimate comparative effectiveness in clinical trials confounded by treatment switching, and in observational data.
- Noemi Kreif (https://www.york.ac.uk/che/staff/research/noemi-kreif/) is senior research fellow. Her research is centred around causal impact evaluation of health interventions and policies. She enjoys incorporating methodological innovations from statistics, causal inference and machine learning to provide robust answers to policy-relevant research questions.
Beyond invited keynote lectures, we welcome contributions of participants to the above-mentioned topics. We encourage younger colleagues to present and discuss their work in progress.
Information about the programme, the registration and the abstract submission will be posted at twitter.com/Herbstworkshops and at www.unimedizin-mainz.de/smde/aktuelles.html.
About us:
The four working groups “Statistical Methods in Medicine” (IBS-DR), “Statistical Methods in Epidemiology” (IBS-DR, DGEpi, DGSMP), “Statistical Methods in Clinical Research” (GMDS) and “Epidemiological Methods” (GMDS, DGEpi, DGSMP) have cooperated since 2011 in the organization of workshops, further training events in statistics and methodology, and scientific statements. In 2019, these four working groups were joined by the cross-sectional initiative “Causal Inference” (DGEpi), whose speaker Uwe Siebert is also head of the working group “Medical Decision Making” (GMDS).
Aus juristischen Gründen müssen wir Folgendes angeben:Falls die Teilnehmerzahl zu gering ist oder ein anderer wichtiger Grund vorliegt, haben die Organisatoren der Veranstaltung das Recht, den Workshop abzusagen oder zu verschieben oder auch das Programm zu ändern. Registrierte Teilnehmer werden umgehend benachrichtigt und bereits gezahlte Gebühren werden erstattet. Weitere Ansprüche, insbesondere die Erstattung von Reise- und Übernachtungs-kosten sowie für entstandenen Arbeitsausfall bestehen nicht.
Translation of the statement above (only the German text is legally binding): For legal reason we have to state the following:If the number of participants is too low or there is another important reason, the organizers of the event have the right to cancel or postpone the workshop or even change the program. Registered participants will be notified immediately and any fees already paid will be refunded. Further claims, in particular the reimbursement of travel and accommodation costs as well as for any loss of work incurred, do not exist.
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