Biometrisches Kolloquium 2021

Topical sessions will be opened by an invited speaker. Please find here further information on the confirmed speakers.

Invited Speaker	Affiliation	Topic(s)	Presentation Title
Bernd Bischl 1	Ludwig-Maximilians-Universität München	Statistical Machine Learning	“Interpretable Machine Learning”
Albert Brühl 2	Philosophisch-Theologische Hochschule Vallendar	Statistics in the Nursing Sciences	“Methodische Impulse und statistische Analyseverfahren, die zur Theorieentwicklung und -Prüfung in der Pflegewissenschaft beitragen können” (in German)
Ulrich Dirnagl 3	Charité / Berlin Institute of Health	Non-Clinical Statistics	“Can statistics save preclinical research?”
Holger Fröhlich 4	Fraunhofer SCAI Bonn	Bioinformatics	“AI Methods for Multi-Modal Data Integration”
Helena Geys 5	Janssen Pharmaceutica	Extrapolation and Information Borrowing	“On the use of historical control data in preclinical development”
Els Goetghebeur6	Ghent University, Belgium & Karolinska Institutet, Schweden	Personalisierte Medizin	„Learning about personalised effects : transporting anonymized information from individuals to (meta-) analysis and back“
Malka Gorfine 7	Tel Aviv University, Israel	Nonparametric Statistics and Multivariate Analysis	“Marginalized Frailty-Based Illness-Death Models”
Leonhard Held 8	University of Zurich, Switzerland	Data Sharing and Reproducible Research	“The statistical assessment of replication success”
Lars Koppers 9	Science Media Center / Karlsruher Institut für Technologie	Statistical Methods in Epidemiology	“Epidemiologische Modelle in der Öffentlichkeit – mit Statistik durch die Pandemie”
Inke König 10	Universität zu Lübeck	Genetic Epidemiology	„Genetic Epidemiology – Think outside the box“
Judith Lok 11	Boston University, USA	Causal Inference and Estimands, Statistical Methods in Epidemiology	“Truncation by death and the survival-adjusted median: from missing data to useful summary measures”
Amir Madany Mamlouk 12	Universität zu Lübeck	Teaching and Didactics in Biometry	“How to enhance gameful learning in the STEM subjects”
Lisa Mc Shane 13	National Cancer Institute, USA	STRATOS, Good Statistical Practice	“Statistical analysis of high-dimensional biomedical data: issues and challenges in translation to medically useful results”
Erica Moodie 14	McGill University, Canada	Causal Inference and Estimands, Statistical Methods in Epidemiology	“Dynamic Dosing Strategies”
Martin Posch 15	Medical University of Vienna, Austria	Adaptive Designs, Multiple Testing	“Statistical Issues in Confirmatory Platform Trials”
Nicky Welton 16	University of Bristol, UK	Evidence-based Medicine and Meta-Analyses	“Network meta-analysis for components of complex interventions”
Almut Winterstein 17	University of Florida, USA	Real World Evidence	“RCT versus RWE: Good versus evil or yin and yang?”