XXXIInd Conference of the Austro-Swiss Region (ROeS) of the International Biometric Society

Data, Evidence, and Insights
Statistical methods in the life sciences – current trends and a future outlook

XXXIInd Conference of the Austro-Swiss Region (ROeS) of the International Biometric Society

In Cooperation with Austrian Statistical Society (Österreichische Statistische Gesellschaft, ÖSG)
Swiss Statistical Society (SSS)
American Statistical Association (ASA)

Hosted by the Faculty of Natural Sciences at the University of Salzburg

More about the Austro-Swiss region (ROeS) of the International Biometric Society (IBS)

The working language of the conference is English.

The IBS-ROeS Conference 2021 provides a platform for an exchange regarding statistical methods in all applications of Biometrics, including Medicine, Biology, Pharmacy, Agriculture, Forestry, Veterinary Medicine, Ecology, Epidemiology, and Genetics, among others.

It is the venue where Swiss and Austrian biometricians/biostatisticians meet to share information, ideas and opinions.

Recent events have made it clear that our field is much more central to the well-being of humankind than many people would have previously thought. Our 2021 conference theme “Data, Evidence, and Insights” highlights the special and important role played by biometricians (statisticians and biostatisticians) when making sense of life sciences data in order to provide real, robust, and authoritative evidence which can support decision making.

Communicating this central role has always been an important challenge, ever since the establishment of statistics as its own discipline. It could never be taken for granted that the good statistical practices which we consider self-evident, based on the scientific progress made in our field, are always given full consideration by others. This becomes evident in regular intervals, in particular during times where the buzzwords of the day are mistaken as an alternative way to analyze data, just without having to follow some well-grounded practices of statistics.


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