Welcome to the Section for Medical Statistics (IMS)

The Section for Medical Statistics (IMS) focuses on three main subjects:

  1. Research in the field of innovative statistical methods.The statistical methodological research focuses  on the following topics:

    • Sequential experimental designs
    • Adaptive and flexible experimental designs
    • Multiple hypothesis testing
    • Designs for hypothesis selection in genetic studies

  2. Scientific Collaborations in the planning, evaluation and publication of medical studies. Annually, the Section of Medical Statistics cooperates in up to 200 projects. Cooperations can be initiated at our weekly Consulting Seminar.
  3. Teaching of Biostatistics in various degree programs at the Medical University of Vienna and support of students for the planning and analysis of diploma theses projects. The Section for Medical Statistics also coordinates the statistical education in the modules SSM2 and SSM3 for human medicine (curriculum N202) and dental medicine (curriculum N203).

The section was founded in 1969 as independent Department of Medical Statistics and Documentation at the Medical Faculty of the University of Vienna. In 2004, it merged with the Departments of Medical Computer Sciences under the designation "Core Unit for Medical Statistics and Informatics (MSI)" of the Medical University of Vienna. Since 2010, the IMS is a section of the Center for Medical Statistics, Informatics and Intelligent Systems.



Arthur-Linder Prize for IDEAS ESRs Nicolas!

The Austro - Swiss Region of the International Biometric Society promotes young scientists with the Arthur Linder prize (https://www.ibs-roes.org/home-en/arthur-linder-prize/). In honour of Prof. Dr Arthur Linder, a prize is awarded every two years to a young member of the Austro-Swiss Region of the International Biometric Society (RoeS).

ESRs Nicolas Ballarini (Medical University of Vienna) won the Arthur-Linder Prize this year for his paper "Subgroup identification in clinical trials via the predicted individual treatment effect" in PLOS ONE.

The winners were announced at the ROeS seminar in Lausanne in September 2019, where Nicolas presented his paper as a short lecture.

Ballarini NM, Rosenkranz GK, Jaki T, König F, Posch M. Subgroup identification in clinical trials via the predicted individual treatment effect. PLOS ONE. 2018 Oct 18;13(10):e0205971


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