Return to: School of Statistics : U of M Home
The Statistical Consulting Service of the School of Statistics provides statistical help to improve research at the University of Minnesota.
We help design experiments and surveys, select and perform appropriate analyses, interpret results, and assist in writing grant proposals, journal articles, student theses, and other published papers.
We have worked on thousands of projects with University researchers, including everything from questions that can be answered on the spot to in-depth research projects that take months or even years of collaboration, and we look forward to working with you.
Our service is offered in the following ways:
Statistical advice is available at no cost through our Statistical Clinic, located on the St. Paul campus. Further details are available on the clinic page. Availability is limited and depends on demand.
The funding and availability of our no cost consulting is limited compared to past years, and is not guaranteed for subsequent years. We therefore ask your college, department, or graduate program to consider paying a portion of our costs proportional to your usage. This will ensure availability for researchers from your unit this year, and ensure that our service continues to be available to you in future years. Contact Aaron Rendahl at arendahl@stat.umn.edu or 612-625-1062 for more information.
If further consulting effort is needed for a particular project, or to ensure support for a project, additional hours of service may be negotiated with individual faculty members or research groups. In particular, if you are writing a grant for future research, please consider consulting with us on the proposal and including funding for statistical assistance. In some cases, the input of a statistician can make the difference between funding or no funding. Contact Aaron Rendahl at arendahl@stat.umn.edu or 612-625-1062 for more information.
College of Liberal Arts: Faculty and graduate students in the College of Liberal Arts are invited to contact the Statistical Clinic or Professor Weisberg for help with any quantitative research question.
College of Veterinary Medicine: The College of Veterinary Medicine has provided additional funding through an investment by the Office of the Associate Dean of Research for the Molecular and Genetic Models sub-group of the Comparative Medicine signature program. It is to be used primarily for genetic research projects, but a portion of time (about 4 hours per week) is open to any comparative medicine project, with an emphasis on those that are likely to lead to future funding.
To have your project considered for this additional CVM consulting time for any comparative medicine project, please contact Ned Patterson DVM, PhD or the clinical investigation center for small animal projects, or Molly McCue DVM, MS, PhD for large animal projects.
Additionally, Aaron Rendahl will have a part time office in 168 Animal Science Veterinary Medicine, with regular office hours on Tuesday and Wednesday afternoons from 1-4.
College of Education and Human Development: Researchers in CEHD should first contact the Office of Research Consultation and Services within your college.
Academic Health Center: Researchers in the AHC should first contact the Biostatistical Design and Analysis Center, a service component of the AHC.
We have moved! As of June 2009, we are located in 48 McNeal Hall on the St. Paul campus. Consulting for CLA researchers continues to be available in Ford Hall on the Minneapolis campus.
We are pleased to announce that a limited amount of no-cost statistical consulting by the Statistical Consulting Service of the School of Statistics will continue to be available for all University researchers for the 2009-2010 school year.
However, the funding and availability of this service is limited compared to past years, and is not guaranteed for subsequent years. We therefore ask your college, department, or graduate program to consider paying a portion of our costs proportional to your usage. See main page for details.
As in past years, the best way to ensure availability of service for future projects is to include funding for statistical support in grant proposals.
Please contact Aaron Rendahl, Consulting Manager with any questions.