Beskrivelse
We cordially invite you to the workshop Statistical Model Building Strategies for Cardiologic Applications (SAMBA) - New results and future challenges on November 23th and 24th in Vienna. The workshop is organized by the PIs of the international joint project SAMBA in cooperation with the Wiener Biometrische Sektion (WBS) and the Center for Medical Data Science (CeDAS) at the Medical University of Vienna. We are delighted to welcome Prof. Dr. Tobias Pischon from Berlin, Germany, and Prof. Dr. Maarten van Smeden from Utrecht, Netherlands, as keynote speakers. We acknowledge the support by the Austrian Science Funds (FWF) and the Deutsche Forschungsgemeinschaft (DFG) through the joint project SAMBA, grants I4739-B and RA-2347/8-1, respectively.The workshop will cover two half days. On the afternoon of November 23th our focus will be on the intersection of epidemiology and biostatistics. Prof. Pischon will talk on the Interaction of epidemiology with biostatistics within the large prospective cohort study NAKO with emphasis on cardiovascular diseases followed by a panel discussion on Complex longitudinal studies: Needs and challenges in the interaction epidemiology – biostatistics. The morning of November 24th is dedicated to The power and risks of algorithmic model building, where Prof. van Smeden will give his talk on Rage against the machine learning. The participants of the SAMBA project will also present issues and opportunities of statistical model building strategies with a focus on cardiological applications.
The participation in the workshop is free of charge and open to any national and international participants of any scientific discipline interested in the interaction of biostatistics, epidemiology, machine learning and cardiology.
We are looking forward to welcoming you in Vienna in November!
Daniela Dunkler, Georg Heinze, Heiko Becher & Geraldine Rauch (organizing committee)
| Periode | 23. nov. 2023 → 24. nov. 2023 |
|---|---|
| Begivenhedstype | Workshop |
| Placering | Wien, ØstrigVis på kort |