The Finnish Society of Biostatistics

The Finnish Society of Biostatistics advances discussion and change of information between statisticians and researchers from the biological and medical fields. For this purpose the society organizes events for educational training, presentations and discussions, and contributes in other ways to development of the members' professional skills.

The society was founded in 1987 and has currently over 200 members working in universities, pharmaceutical industry, research institutes and other corporations. The society co-operates with other statistical and related scientific associations to promote statistical thinking in biological and medical research. The society is a member of the Federation of Finnish Learned Societies since 2010.

A biostatistician or a person who is interested in biostatistics can be accepted as a member of the Finnish Society of Biostatistics. The annual fee of the society is circa six euros. If you want to join the society, please fill in the application form (in finnish).

Upcoming events

SAS®/GLIMMIX for Mixed Models and Generalized Linear Mixed Models

   The Finnish Society of Biostatistics organizes a course on SAS®/GLIMMIX for Mixed Models and Generalized Linear Mixed Models by Professor Walt Stroup, PhD, University of Nebraska, Lincoln. The corse is held 23.–25.5.2012 in Turku, Finland. First announcement!

Location and organization: Publicum, University of Turku. First two days (May 23rd and 24th) will consist of lectures and the last day (May 25th) will consist of practicals in the computer lab.

Participation fee and timetable: Information will be provided later through the society mailing list and the website.

Content: This course surveys generalized linear mixed model methods and their implementation with SAS® PROC GLIMMIX. Our focus will be on model construction, estimation and inference in studies with various forms of clustering, including repeated measures, split-plot and multi-location studies. Mixed models for normally distributed data will be presented to review important concepts, but our focus will be on generalized linear mixed model for non-normal data (e.g. proportions and counts) The course will include use of mixed model methods for planning, design and sample size determination as well as data analysis. Planning and design are especially important because much of the conventional wisdom about design follows from normal theory; designs well-suited for normally distributed data are often poorly suited for non-normal data. All example will use SAS procedures, mostly PROC GLIMMIX, but some PROC NLMIXED (for certain GLMMs that cannot be implemented using GLIMMIX) and PROC MIXED and GENMOD (mostly for comparison with GLIMMIX). Attendees should have background in design and analysis of experiments.

Text: SAS for Mixed Models, 2nd ed.

More information: Society secretary John Aspegrén (sihteeri @ biostatistiikanseura.org) or Society President Timo Hurme (timo.hurme @ utu.fi)

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