Consulting Services

Under the supervision of a senior faculty member, statistics doctoral candidates and experienced master's students provide assistance in areas such as:

• Experimental design
• Data analysis and interpretation of results
• Model fitting
• Time series
• Classification and prediction

We encourage you to drop by, especially in the early stages of your research. At any stage, of course, you may bring data, prior analyses, or any other relevant material.

Please complete this client information form before your visit to help us prepare to help you. Statistics students should please note that this is not a tutoring service.

Schedule and Location

Consulting sessions begin in the second week of the Quarter. Sessions are not held during the first week of the Quarter, during Dead Week or Finals Week, between Quarters (the Intersession), or during any University holiday period (such as Thanksgiving, Winter Closure, etc.) per the current Academic Calendar.

Sessions are held in the Sequoia Hall Conference Room (the "Fishbowl"), Room 220 on the second floor, to the left from the top of the stairs or the elevator. The searchable campus map is available to help you locate us.

The schedule for Winter 2019 is:

• Tuesdays         1pm to 3pm

• Wednesdays   10am to 12pm

• Thursdays       1pm to 3pm

• Fridays             10am to 12pm

The final session will be held on: Friday, March 8th

Industrial Affiliates

We also offer the opportunity for scientists, engineers and researchers in local companies to meet with our graduate students in an informal setting. We are interested in hearing about technical problems in applied statistics, optimization and related fields. This introduction might lead to ongoing consulting arrangements or membership in our Industrial Affiliates Program.

Additional Consulting Resources on Campus

Stat, Math, Algorithmic and Computational Consulting brings together technical consultants from ICME, Research Computing, the Statistics Department, and IRiSS to offer services in the basement of the Jen-Hsun Huang Engineering Center. See the SMACC website for the full story.

Social Science Data and Software provides consulting for the Stanford community in selecting and using quantitative software: R, Stata, SPSS, and SAS. Part of Stanford University Libraries, SSDS are located in The Velma Denning Room (120F) on the first floor of the Bing Wing. Service hours and much more, like "how-to" videos, are found at the SSDS website.