Statistics Consulting Program

The Consulting Program is open during academic quarters

Consulting Request Sign-up Form

Poster

Dear researchers of the university community,

The Department of Statistics invites faculty, staff, postdoctoral and student researchers of the University to sign up and make use of its free Statistical Consulting resources offered by a team of our doctoral candidates and experienced master's students. Under the guidance of some of our faculty members, our student consultants can provide statistical assistance to all members of the research community at UChicago in areas such as:

  • Experimental design and data acquisition
  • Data exploration, analysis, and interpretation
  • Modeling data and model fitting
  • Statistical inference for estimation, testing, and prediction
  • Statistical computation and simulation methods, 
  • etc.

Consultations are arranged by appointment. To make an appointment, please select an appropriate time and fill in our brief consulting request sign-up form above (or alternatively, directly scan the QR code on the lower right). After your form is submitted, our consultants will be in touch via email to confirm the meeting. We aim to schedule an initial meeting within the week your request is received.

Note: The clinic-style consultation does not offer coding nor implementation help. Rather, it provides an opportunity for members of the research community to efficiently seek help and advice with their own analyses. We emphasize that this service is provided by our students on a voluntary basis as part of their training and in addition to their regular workload and is entirely pro bono. Additional more hands-on help or collaborations can be further arranged for adequate projects. A few stats resources are available on our website, https://uofcstatdeptconsult.github.io/, (currently under construction — bear with us as we add more material and do provide feedback on what would be useful to include!).

Sincerely,

Claire Donnat, program co-chair
Mei Wang, program co-chair
Department of Statistics
University of Chicago

September 2023