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RESUME                  Susanne Strohmaier

Anchor 1
Mission
Statement
I strongly believe in the importance of the role of statistics in biomedical research. More particularly, I am convinced that the recent advances in the field of causal inference provide important tools to more precisely specify which quantities are in fact of interest and hence to improve the quality of our research results. From my experience in applied epidemiological research, I reached the conclusion that we should not shy away from critically questioning established methods, as there lies an enormous potential for improvement in every thoughtful evaluation. While I enjoy the development of new methodology, I think it is important to involve applied researchers in the process and to make a considerable effort to make sure that that novel techniques reach their target audience in the most comprehensive way possible.
For a list of my publications see google scholar .
Skills & Languages

SAS 

SPSS 

Latex 

MS Office 

Postdoctoral
work 
Postdoctoral Research Fellow Biostatistics, Medical University of Vienna
2018 - 
Project: SCOUT - Supporting Causal Conclusions from Observational Survival Studies
Supervisor: Georg Heinze 
Postdoctoral Research Fellow Chronic Disease Epidemiology, Brigham and Women's Hospital and Harvard Medical School
2016-2018

Project: Maternal night shift work before and during pregnancy and offspring health outcomes through early childhood and adolescence

(Supervisor: Eva Schernhammer

Education
PhD Biostatistics, University of Oslo
2012 - 2016

Part of Marie Curie Initial Training Project: MEDIASRES -Novel statistical methodology for diagnostic/prognostic and therapeutic studies and systematic reviews http://www.mediasres-itn.eu

 

Project: Understanding treatment effects in clinical survival trials - A causal approach\\

Supervisors: Odd Olai Aalen, Onulf Borgan, Kjetil Roysland, Theis Lange

MSc Statistics, Lancaster University

2011 - 2012

 

Master project: Subgroup selection in two-stage clinical trials

Supervisor: Thomas Jaki

 

 

Dipl. Ing. (equivalent to MSc) Technical Mathematics,

Leopold Franzens University Innsbruck

​2003 - 2009

Diploma Project: Applying the linear mixed effects model to the analysis of time-dependent covariates in Cox regression  models

Supervisor: Karl-Peter Pfeiffer, Hanno Ulmer

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