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Statistics Consulting Service

Effective Fall 2007:
This service is unavailable until further notice. Please accept our apologies, and thank you for your patience.

What is the Statistics Consulting Service?

The UC Denver Department of Mathematical & Statistical Sciences operates this service, in which statistics faculty are available as consultants by appointment.

Projects in any field are accepted. Areas of statistical expertise include:

  • Exploratory data analysis ("data mining")
  • Spatial statistics
  • Interlaboratory studies
  • Industrial statistics (e.g., product/process control)
  • Engineering statistics (e.g., experimental design)
  • Robust and nonparametric methods
  • Climate modeling

    • You may contact the Statistics Consulting Service for statistical advice at any stage of your research. However, most clients find it most beneficial to contact us in the early stages of the study so that issues of sample size, experimental design, and efficient utilization of resources can be addressed, before the study is actually run.

    What is the charge for a consultation?

    UC Denver Graduate students: free (thesis or dissertation only)

    All others pay a nominal fee, depending upon affiliation (UC Denver faculty / Government, Non-profit / Corporate) For rate information email dana.franklin@cudenver.edu.

    What types of projects have we performed in the past?
  • UC Denver Department of Psychology: Women in the workplace (factor analysis)
  • UC Denver Graduate School of Public Administration: Survey design (design and analysis of customer survey)
  • Customer Satisfaction Systems: Hospital survey (analysis of data from customer satisfaction surveys)
  • U.S. Geological Survey: Quality Inspection (Short courses in statistical quality control and exploratory data analysis)
  • University of Colorado Health Sciences Center: Community intervention studies (design and analysis of large community trials)
  • Diagnostic Imaging: Diagnostic medical tests (sensitivity/specificity analyses)
  • National Cancer Institute: Screening tests for cancer (design and analysis of randomized screening trials)
  • OEA, Inc.: automotive products manufacturing (design of experiments for process/product improvement)
  • Los Alamos National Laboratory: Interlaboratory Studies

    • Whom do you contact for more information or an appointment?

    Send an email stating the details of your consulting question and your contact information to dana.franklin@cudenver.edu.

    Personnel (for more information, click on links below):

  • Karen Kafadar
  • Stephan Sain

    • This page last modified Thursday, 17-Apr-2008 11:42:50 MDT.
    Maintained by Dana Franklin.


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