Survival Analysis for Junior Researchers (SAfJR) Ulm, 1-3 April, 2020
We are proud to host the 9th annual conference!
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.
Invited Speakers (up till now)
- Tutorial of Torsten Hothorn, University of Zurich (CH)
- Keynote talk of tba
- Keynote talk of Torben Martinussen, University of Copenhagen (DK)
Early stage researchers and statisticians, such as
- "Newbie" researchers and statisticians
- PhD students
- Postgraduate students
Anyone who does not consider themselves as a "young researcher or statistician" is also welcome to attend and present their work.
Organizing Committee´s Responsibilities
Jan Feifel is a doctorate of natural sciences in Biostatistics at Ulm University. He participates as a statistician and data analyst within the COMBACTE consortium. Especially he is working with clinicians of infectious diseases, microbiologists and many more to investigate the risk factors and outcome predictors of rare Carpapenem resistance all over Europe. His main research focuses on the development of novel case-cohort sampling designs for epidemiological studies and on methods of statistical inference within these designs.
- IT / Hardware
- Registration Tool (online)
Regina Stegherr is a doctoral candidate in Biostatistics at Ulm University. Her current research interests involve left-truncated survival analyses and the analysis of adverse events with varying follow-up times.
- Poster Session
Anja Bertsche works as a senior statistician at the Pharmaceutical Company Boehringer Ingelheim in Biberach. Her work and research interests involve non-clinical statistics within drug development, especially pharmaceutical and analytical development. She completed her master’s thesis about Bayesian phase II optimization for time-to-event data based on historical information in cooperation with Ulm University.