Danish Society for Biopharmaceutical Statistics

The Danish Society for Biopharmaceutical Statistics (DSBS) was formed in March 1992 as an independent non-profit association. The aims of DSBS are to further the exchange of information between professional statisticians working for the pharmaceutical industry in Denmark and abroad, to promote professional standards, and to constitute an expert body in biopharmaceutical statistical matters. About 150 statisticians, representing 13 companies, are members of the society


Upcoming events

DSBS General Assembly, Monday, 9 May 2016 at 16:00

General Assembly for DSBS and a miniseminar will take place at Charlottehaven, Hjørringgade 12 C • 2100 København Ø
After the annual conference, DSBS will host a dinner at the same venue.


PSI 2016 Annual Conference in Berlin

The PSI 2016 annual conference will be taking place on 22nd- 25th May 2016 at the Pullman Hotel, Berlin. The theme of the 2016 Conference is “Promoting Statistical Insight and Collaboration in Drug Development” and registration will open soon. Sessions will include an update on estimands, subgroups, dose exposure modelling, decision criteria, use of biomarkers in translational activities, clinical registries and many more with speakers from industry, academia and regulatory agencies. For further information please go to psiweb.org/events/2016-conference.

Recent events

The Joint DSTS and DSBS Two-day Meeting was held on 10-11 November 2015 at Novo Nordisk, Bagsværd. The slide presentations and program can be found here.

The 6th edition of the European Statistical Forum took place in Vienna on November 16, 2015. The title of this year’s edition is: “Applications of statistical methodology in early drug development”. For further information about this edition, future and the past ones you can visit the website www.esforum.eu. DSBS members will be provided discounted participation fee.

Articles in Nature on Statistics

The following article published in Nature may be of interest to you and your Industry colleagues: How scientists fool themselves—and how they can stop. There's also an accompanying commentary on blind data analysis: Blind analysis: Hide results to seek the truth, and an interesting editorial: Let’s think about cognitive bias.