RESUME Susanne Strohmaier
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
R
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