Staburo @ European Statistical Forum in Munich

On Tuesday, 14th November 2023, the Staburo team comprising Hannes Buchner, Laura Schlieker and Sarah Mwiberi Juckel attended the 14th European Statistical Forum held in Munich, Germany. The conference was organised by life science academy and attracted participants from both academia and industry all over Europe.

The theme of the conference was statistical methodology in precision medicine and the role of artificial intelligence. A wide range of topics all centered around precision medicine were presented including creation of fairer ML algorithms, quantification of uncertainty on ML systems, training a learner algorithm, biomarker threshold optimisation, application of polygenic scores in clinical trials as well as AI/ML and omics methods. The keynote speaker was Prof. Werner Brannath from the University of Bremen. He gave a presentation on the population-wise error rate (PWER), a novel type I error rate which has applications in clinical trials with multiple populations where there is a chance for multiple type I errors.

The conference concluded with an interactive Q & A session, in which speakers and attendees discussed the current and future roles of statistics, precision medicine and artificial intelligence in the pharmaceutical industry.

The conference also allowed for networking and intense discussions during breaks. We look forward to sharing our insights with our colleagues at Staburo.

Staburo @ BIO-Europe 2023 in Munich

Staburo’s Managing Director Roland Stieger joined the BIO-Europe two weeks ago and enjoyed the great networking opportunities of this partnering conference with over 5000 delegates!

In addition to several one-on-one meetings, in which Roland discussed data science challenges of potential partners, we were very happy to have our brand and company information shared at the Bavarian booth, thanks to Bio-M.

Roland also attended the well-organized official BIO-Europe evening receptions, in the famous Residenz and at the Nockherberg where it was very nice to catch up with known and introduced colleagues, all from our industry. Thanks to EBD for this great conference!

Staburo @ the 9th Survival Analysis for Junior Researchers

From 13 to 15 September 2023, the 9th SAfJR (Survival Analysis for Junior Researchers) conference took place at the Reisensburg Castle in Günzburg, Germany. The conference, attended by over 60 researchers from around the world, provided a platform for sharing current knowledge in survival analysis. 

The event featured several talks and a poster session. Invited speakers included Torsten Hothorn from the University of Zurich, who presented a tutorial on “A transformation perspective on Survival Analysis”; Torben Martinussen from the University of Copenhagen, who discussed “Subtleties in the interpretation of hazard ratios”; and Jan Feifel from Merck Healthcare KGaA, who spoke about “Real world evidence supporting clinical development in Oncology”. 

Staburo was represented by Maria Blanco, who presented a poster titled “Evaluation of event rate differences using stratified Kaplan-Meier estimates with Mantel-Haenszel weights & adjusted hybrid variance estimators”. This project, a collaboration between Stephan Bischofberger, Hannes Buchner, Gabriele Bleckert and Ling Zhu from Staburo, Rainer-Georg Göldner from Boehringer Ingelheim Pharma GmbH & Co. KG and Bernhard Haller from the Technical University of Munich (TUM), was focused on utilizing the stratified Z test with Kaplan Meier estimates at a fixed time to test the superiority of treatments with survival endpoints. The team aimed to optimize the approach by considering different variance estimators and weights for the strata groups. For those interested, the complete poster is available below: 

The conference, held at the historic Reisensburg Castle – now maintained and used by the Ulm University for scientific conferences – also included a social dinner for attendees. 

Staburo appreciates the opportunity to have participated in this event and looks forward to future conferences.