DAGStat Conference 2019
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Special Sessions

Poster Reception


The poster reception will take place on Wednesday, March 20th 2019, from 6:20 to 7:30 p.m. in room E110 (Senatssaal).

Panel Discussion


Data Science - Hope or Hype

The panel discussion will take place on Thursday, March 21st 2019 at 5:45pm at the LMU.

Set participants so far are:

NameInstitution

Prof. Frauke Kreuter

Institution of Mannheim, DE

Institution of Maryland, USA

Prof. Barbara Hammer Bielefeld Institution, DE

Prof. Markus Zwick

Destatis, Statistisches Bundesamt, Wiesbaden, DE

Prof. Gerd Antes Former director of Cochrane Germany, DE
Sebastian Litta QuantCo, DE

 

The discussion will be led by

Prof. Adalberth Wilhelm GfKl, Jacobs Institution Bremen
Prof. Göran Kauermann LMU, München

Young Statisticians Panel Discussion



What to do after graduating (Bachelor/Master/PhD)? Your career options in Biostatistics

Academia, industry or public authorities? What kind of career options do Biostatisticians have and what are the respective advantages and disadvantages? Which steps might be helpful to get there? How to combine job and family and handle dual-career problems? Are there insiders’ tips?
These are only some of the questions we would like to discuss with seven invited speakers, who are hand-picked to represent a broad spectrum of career paths in Biostatistics. We invite all early-career statisticians (Bachelor/Master/PhD students and Postdocs), but also more experienced statisticians to join the discussion and ask questions.
The panel discussion will take place on Tuesday, March 19th 2019, from 6:30 to 7:30 p.m. and is open to everyone who is interested (you do not have to be an attendee of the DAGStat meeting).
It is organized by the Young Statisticians working group of the IBS-DR (AG Nachwuchs).

 

Set participants:

NameInstitution
Dr. Ronja Foraita Leibniz Institute for Prevention Research and Epidemiology - BIPS, Bremen, DE
Jun.-Prof. Dr. Andreas Groll TU Dortmund, Dortmund, DE
PD Dr. Benjamin Hofner Paul-Ehrlich-Institut, the German Federal Institute for Vaccines and Biomedicines, Langen, DE
Prof. Dr. Antje Jahn Darmstadt University of Applied Sciences, Darmstadt, DE
Dr. Tina Lang Bayer AG, Wuppertal, DE
Rainer Probst AMS Advanced Medical Services GmbH, Mannheim, DE
Prof. Dr. Antonia Zapf University Medical Center Hamburg-Eppendorf, Hamburg, DE

More information about the participants can be found here.

 

The discussion will be led by

Dr. Anke Hüls Emory University, Atlanta, GA, USA
Eva-Maria Hüßler Heinrich Heine University, Düsseldorf, DE

 

 

Young Statisticians Session


Idea

The Young Statisticians Session can be seen as prestigious rehearsal. As a chosen Young Statistician you can present your research in German or English in a friendly atmosphere with the opportunity to get feedback on your presentation (performance, content, layout, etc.). The chosen Young Statisticians will be invited to the conference and to the conference dinner and receive a certificate.

Please note: The extended abstract submission deadline for the Young Statisticians Session is November 15th!

For application and selection procedure check the attached flyer.

Who should apply?

  • Students at the end of their bachelor's or master's thesis or
  • Post-graduate students in their first year.


Your presentation should preferably cover the topic of your bachelor's or master's thesis. It can also include work in progress if no final research results are yet obtained.

 

 

Statistics Bazaar


The DAGStat conference provides a unique opportunity for statisticians to exchange ideas with colleagues from other areas of application. In particular the statistics bazaar is meant to encourage statisticians to look beyond the toolbox that is commonly used in their own area. Sometimes the ideas of colleagues remain unnoticed by oneself simply because they are communicated in an unfamiliar context. In the statistics bazaar four distinguished colleagues with differentbackgrounds will explain some of the subject matter challenges they are confronted with, boil it down to their statistical content, and explain - from statistician to statistician - how these problems can be tackled.

Speakers are:

DaySpeakerTitleUniversity
Tuesday Fabrizio Durante Modeling dependence beyond correlation with copulas Salento University, ITA
Wednesday Martin Treiber How to beat the traffic jam - modelling drivers and exploring traffic flow with statistical tools TU Dresden, DE
Thursday Arne Bathke Inference for data with multiple endpoints: general strategies and recent developements Salzburg University, AUT
Friday Sonja Greven Introduction to functional data analysis and functional regression LMU, DE

 

Statistics and Practice


Statistics and Practice will be headed by Vanessa Didelez.

 

Johan Steen (Ghent University Hospital) will be the presenter of the following abstract

Extended abstract

This short course will cover concepts and inference for direct and indirect effects, as relevant in situations where we are interested in whether and how much the effect of an exposure/treatment is mediated via other factors to affect a final outcome. This is often relevant for gaining an understanding of the underlying causal mechanisms and hence planning of potential future interventions. For instance, we may want to know whether changes in children's well-being affect cardio-metabolic markers via changes in life-style. Traditionally this has been modeled with linear structural equation models (SEMs) but the limitations of this methodology have lead to alternative approaches and generalisations known as causal mediation analysis. The latter is based on potential outcomes and causal graphs. In this course we will show how (in)direct effects can be defined non-parametrically, i.e. without presuming any particular parametric model. Recent approaches to causal mediation modeling and inference will then be addressed, such as the mediational g-formula or natural effect models, as well as their practical application with R packages such as medflex.

Participants are expected to have a fair knowledge of regression analysis and generalised linear models.

 

Statistik für die Öffentlichkeit


Statistik für die Öffentlichkeit will be presented by Katharina Schüller on Tuesday, March 19th 2019, at 7:30pm.

Further informations will be announced.