Most of us have a relationship with statistics. It is used as a tool throughout the community and in all disciplines, from economics to physics, from aquaculture research to knitting. As a researcher, you have probably taken at least one course in statistics at the university, and have used statistics in your clinical research in connection with publication.

Statistics is one of the tools that can be employed to make use of observations from the past to say something about the future. It is often divided into prediction analysis and causal cause-effect analysis. Prediction describes what will happen without any manipulation or influence, while causality deals with what happens when you actively go in and change something.

All statistics advice from the Clinical Trial Unit is free of charge.

We can also do specific statistics work at all stages of your clinical trial. Tasks range from designing the experiment, calculating sample size, creating randomization lists and contributing to protocol writing, to writing analysis plans, programming all analyses, interpreting the results and contributing to article writing. The terms for such cooperation will be laid down in an agreement and the work will be paid for by the project /study group.

Our goal is that everything we deliver should be in accordance with international standards for "Good Statistical Practice". We follow the department's quality system, where we have our own routine description (SOP) on how to do statistics in a clinical trial. So far, our experience has been good, with several publications in reputable journals. We follow the Vancouver rules for authorship.

Overview of our employees can be found here.