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

Mediation Analysis - 18 August 2016


Click on image to see the program for the seminar. Free of charge. Register by 15 August.

Survival Analysis in Clinical Trials - January 2017


Click on image to see the program for the course

Recent events

NordStat 2016 Conference in Copenhagen

The 26th Nordic Conference in Mathematical Statistics will be held in Copenhagen, Denmark, June 27-30, 2016. The detailed program is now available.

A satellite workshop on functional data analysis takes place June 26

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.


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.