The Statistical Consulting Group is part of the Department of Statistics in the College of Letters and Science. We provide UW faculty, staff, and students with assistance in all the statistical aspects of research, from project development through publication.
Faculty, staff, and project assistant statisticians, all with training and experience in bridging statistics and the sciences, are available for collaboration. Please see our Team. Collectively, they have co-authored many refereed journal articles reflecting collaborative research activities. See Testimonials from current and former collaborators.
If you are interested in setting up an appointment, first please read our Policies and Procedures, then you may sign up here.
Our philosophy
Our goal is to gain a working knowledge of the science and logistics of your problem, while simultaneously giving you a working knowledge of the statistical theory and methods that we suggest. We believe that the most efficient and effective way to achieve this is to develop a collaborative relationship. This means that the statistical work will be performed either by you or together with the statistician. In particular, you should not expect the statistician to do the work for you.
What we offer
We provide assistance in all statistical aspects of research, including:
- preparation of grant proposals
- planning before data collection
- analysis of preliminary data
- revision of study design
- analysis of data prior to manuscript preparation or resubmission
- interpreting results
- writing reports, manuscripts and presentations
- addressing reviewer comments
- development of a method new to your field for data analysis
- data visualization
- software use, including R, SAS, Python, Julia, JMP, Prism, etc.
- deciding if a method or package is appropriate for your analysis
‘On the cutting edge’: Statistical Consulting Group enhances diverse research projects across UW–Madison campus
The Consulting Group—comprised of Department of Statistics faculty, staff and graduate students—partners with researchers around the university to provide comprehensive statistical support and data expertise.