Appointments/Information: (970) 491-5268
Computer Program questions:(970) 491-6568
GENERAL STATISTICAL CONSULTING
The laboratory provides general statistical consulting to researchers from every college at the University. Conducting approximately 1000 consulting sessions each year, consultants offer advice ranging from the planning and design of experiments to the analysis and interpretation of experimental results. There is no charge to CSU faculty, staff and graduate students for general consultation. Please see Statistical Laboratory Policies below. Call 491-5268 to schedule appointments.
After you have scheduled a meeting with a consultant on a new project, you are asked to complete this consulting form. Please email a copy to Stats_ddp@mail.colostate.edu, fax a copy to 970-491-1084, or print and bring with you to the appointment.
Faculty consultants are:
Dr. Ann Hess, General consulting and bioinformatics, microarray analysis, proteomics
Dr. Phil Turk , General consulting and Experiment Station projects
Mr. Jim zumBrunnen, General consulting and data analysis projects
Several advanced graduate students are also available for consultation.
The faculty consultants strongly encourage graduate students to perform their own data analysis. This is important for a better understanding of the results of the data analysis. Analysis has become much more easily performed with the improved interfaces for SAS, JMP, R and SPSS. If a faculty member needs help with analysis, it is recommended that they work with a graduate student within their deparment. The consultants will gladly recommend what procedures should be used and give some help in getting started.
STATISTICAL PROGRAM CONSULTING
Users of the statistical program packages SAS, R and SPSS may receive assistance by calling 491-6568 or by coming to Room 219 in the Statistics Building. Consulting hours vary on a semester basis, so it is good to call 491-6568 or 491-5268 to check on availability of a consultant before coming over. There is generally no charge for this service for CSU faculty, staff and graduate students. Please see Statistical Laboratory Policies below.
STATISTICAL LABORATORY POLICIES
Our general consulting time is covered by funding from the Statistics Department, Vice-President for Research, and the Experiment Station. When we go beyond general consulting, we will either charge an hourly rate for smaller projects, create a contract for larger projects, or request support when we participate with a grant.
Co-authorship is generally expected when consultants have made significant contributions to the research in the form of consultation, experimental design, method development, data analysis and/or data interpretation. Significant can be defined as “the project would not have progressed, or progressed at a substantially slower pace, without the guidance of a statistical consultant”. In such cases, consultants should have the opportunity to review and edit the appropriate sections of a manuscript before submission.
Acknowledgement of Statistical Laboratory contributions is expected in publications that include any data analyzed in the Statistical Laboratory, or significant consultation. For example, when fee-for-service is performed with no method development and minimum effort by Statistical Laboratory consultants.. An example of an appropriate acknowledgement is “The authors wish to thank the Franklin Graybill Statistical Laboratory at Colorado State University for data analysis (and/or statistical consulting)”. Please inform us when relevant publications are accepted and forward us a copy for our records. We may also post citation information on our website. This information is vital to the continued support of the facility.
Collaborations: Grant Assistance and Percent Effort
We are very happy to provide letters of support and assistance in grant writing. For letters of support, please allow at least 2 weeks from the time of your request. Please furnish the following information: Title of grant, agency to which you are submitting the grant, your title and mailing address, and 1-3 sentences on the goals (or specific aims) of your proposal. The Statistical Laboratory is also dependent on grant support for long-term success and we appreciate your support in keeping the it funded. To determine if percent effort by a consultant is required, please consider the following: