Ort: BFR - Jungfernheide Raum JFH3-B0058
Hauptbürogebäude - der dunkelrote Backsteinbau an der Ecke
6.11. Beginn 13.30
- Kurze Begrüßung 10. min
- Vortrag Frau Greven "joint models für Longitudinal- und Time-to-event-Daten " 60 min
Flexible Bayesian Additive Joint Models for Longitudinal and Survival Data
The joint modeling of longitudinal and time-to-event data is an important tool to gain insights into the association between a longitudinally measured biomarker and an event process. I will give an introduction to the topic before presenting our own extensions. We develop a general framework of flexible additive joint models that allows the specification of a variety of effects, such as smooth nonlinear, time-varying and random effects, in the longitudinal and survival parts of the models. Our extensions are motivated by the investigation of the relationship between fluctuating disease-specific markers, in this case autoantibodies, and the progression to the autoimmune disease type 1 diabetes. Using Bayesian P-splines, we are in particular able to capture highly nonlinear subject-specific marker trajectories as well as a time-varying or nonlinear association between the marker and event process allowing new insights into disease progression. The model is estimated within a Bayesian framework and implemented in the R-package bamlss.
- Diskussion + Pause
- 15.00 Inhaltlich- organisatorische Diskussion z.B. Kursplanung 2020
- Ende: 18.00
7.11. Fortsetzung 9.00
- SAS Plattform für Analytik, Datenmanagement und Visualisierung / Reporting (Stichworte: SAS Viya, VA/VS) – ca. 20 Min (Robert Ruf, SAS)
- SAS und Open Source – Synergieeffekte in der Zusammenarbeit – ca. 20 Min (Robert Ruf, SAS)
- SAS Usecase Machine Learing - Verarbeitung strukturierter und unstruktierter Daten (z.B. Bilddaten) – ca. 20 Min (Robert Ruf, SAS)
- Offene Diskussion hinsichtlich möglicher Einsatzszenarien für das BMEL und bezugsberechtigte Institute – ca. 50 Min (alle)
- ab: 11:00 weiter mit Organisation der Biometrie im BMEL
- Ende: 13.00