Projects
Research within MEDIASRES
Clinical trials, diagnostic and prognostic studies are the primary source of evidence in clinical medicine as well as for developing new therapeutic and diagnostic modalities. Contributions over the last decades have led to state-of-the-art statistical methodology that is now considered standard for designing and analyzing such studies and for synthesis of their results by meta-analytic approaches. However, with the increasing availability of genomic and other molecular techniques, the road seems to be paved towards individualized diagnosis, prognosis, and treatment, usually referred to as personalized medicine. This leads to new challenges for the design and analysis of studies, which in turn often calls for a more complex structure of endpoints. Novel statistical methodology promises to greatly facilitate development of approaches for this personalized medicine. While state-of-the-art statistical techniques have already advanced clinical trials and diagnostic/prognostic studies, increasing availability of molecular techniques holds an even greater promise. However, for leveraging such information for individualized diagnosis/prognosis and treatment, the corresponding complex structures have to be modeled adequately and results have to be aggregated by corresponding advanced meta-analytic approaches.
Individual Research Projects
University Medical Center Freiburg
-
Clinical trials for personalised, marker based treatment strategies
Fellow: Hong Sun, Supervisor: Werner Vach
-
Meta-analysis of studies with competing risks outcomes
Fellow: Federico Bonofiglio, Supervisor: Jan Beyersmann
-
Prediction from longitudinal high dimensional molecular data
Fellow: Sung Won Kim, Supervisor: Martin Schumacher
Leiden University Medical Center
-
Methods for proteomic diagnosis and prognosis in inflammatory diseases
Fellow: Alexia Kakourou, Supervisor: Bart Mertens
-
Dynamic prediction in event-history analysis
Fellow: Mia Klinten Grand, Supervisor: Hein Putter
London School of Hygiene & Tropical Medicine
-
Missing data and measurement in individual patient data meta-analysis
Fellow: Matteo Quartagno, Supervisor: James Carpenter
University of Bern
University of Copenhagen
-
Model selection and model validation
Fellow: Anna Barz, Supervisor: Thomas Scheike
University of Oslo
-
Understanding treatment mechanisms in clinical survival trials - a causal approach
Fellow: Susanne Strohmaier, Supervisor: Odd Aalen
University of Vigo
GlaxoSmithKline
-
Mechanistic models in medicine development
Fellow: Ketil Biering Tvermosegaard, Supervisor: John Whittaker
H. Lundbeck A/S
-
State of the art adaptive dose finding designs
Fellow: Corine Baayen, Supervisor: Philip Hougaard
Novartis