Survival Analysis for Junior Researchers (SAfJR) Ulm, 13th - 15th September, 2023
About
SAfJR is an event that is aimed at career-young statisticians with an interest in survival analysis and related research areas. The conference offers an excellent opportunity for young researchers to present and discuss their work with participants at a similar phase in their careers. Keynote speakers, a tutorial, an awarded poster session and a conference dinner are the aims of the Organizing Committee.
Target Group
Early stage researchers and statisticians, such as
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"Newbie" researchers and statisticians
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Post-docs
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PhD students
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Postgraduate students
Anyone who does not consider themselves as a "young researcher or statistician" is also welcome to attend and present their work.
Program
The conference will start on Wednesday the 13th of September at 9:00 and end on Friday the 15th around 12:00. The first half of Wednesday is dedicated to the short course, the second half will be contributed talks. A poster session is planned on Wednesday evening. The second day there will be contributed talks, one invited talk and the conference dinner. On the third day there will be more contributed talks and another invited talk.
Abstract Submission
- Start: 13. March 2023
- Deadline has been extended: 05. May 2023
- Decision: 01. June 2023
More information: Here
Registration
- Start: 19. June 2023
- Deadline Early-Bird: 21. July 2023
- Close: 31. August 2023
- The conference fee is 270€ (early bird; 300€ regular).
- The available rooms at Reisensburg castle are 91.60€-96.60€ per night (Single Room including breakfast) and 111.90€ / 186.80€ per night (Double Room for one person / two persons including breakfast).
More information: Here
Organizing Committee
Sandra Schmeller is a doctoral candidate in Biostatistics at Ulm University. Her current research interests involve multistate models, especially in the field of stem cell transplanted patients data.
Alexander Stemke is a doctoral candidate in Statistics at Ulm University and employee at Boehringer Ingelheim. His research interests involve Bayesian survival analysis, especially with regards to safety analysis and causal inference. Currently dealing with meta-analytic predictive priors to enhance clinical trials.
Judith Vilsmeier is a doctoral candidate in Biostatistics at Ulm University. Her current research interests involve nonstandard event histories and estimation of complex outcomes in non-Markov multistate models.
Jasmin Rühl is a doctoral candidate in Biostatistics at Augsburg University. Her research addresses inference for causal effect estimates in survival data based on different resampling methods
Dr. Jan Feifel is a statistician and data scientist at Merck KGaA. He focuses on machine/statistical learning and time-to-event methods for real-world data across therapeutic areas.
Also, he is contributing to the COMBACTE consortium developing non-standard sampling designs and is curious about causal inference.