UW Statistical Consulting Program Accepting Clients for Autumn 2021

Dear UW Colleagues,


The UW Statistical Consulting Service is currently accepting clients for Autumn 2021 quarter. Appointments will be held online via Zoom. We would appreciate you sharing this email about the service with your department colleagues.


Faculty and graduate students in the Consulting Program of the Departments of Biostatistics and Statistics offer free statistical advice to the UW community through scheduled 50-minute consulting appointments during the academic year when classes are in session. They assist with:


  • the design of studies and experiments, including the preparation of grant proposals
  • data visualization and presentation
  • choice and application of statistical methods
  • development of specialized statistical methods in some cases


Clients should come to consulting appointments prepared to summarize the scientific background and aims of their research prior to discussion of particular statistical issues, techniques or analyses. The consultants have experience primarily with the R statistical analysis system, but they work with clients using whatever statistical package is most convenient for them. (Note: Statistical consulting is for study design and data analysis advice, not software tutorials or support.)


For more information about the Service and to schedule an appointment, click on the following link:




About the Consulting Program: This program is a UW course for graduate students in the Departments of Biostatistics and Statistics. Through this course, students learn how to apply their statistical skills to a variety of real-world problems. Most appointments will have three to four consultants in attendance: two to three student trainees and one faculty advisor. Many problems brought to the consulting program require the consultants to research and discuss possible solutions with program colleagues to determine the most appropriate statistical methods or guidance. In these cases, follow-up appointments are typically scheduled. While resources are limited, some collaboration on actual data analyses can be provided on a case-by-case basis, depending on consultant availability, client needs, the size of the problem, and data analysis tasks.