The Statistical Consulting Collaboratory at UC Riverside

1
The Statistical Consulting Collaboratory at UC
Riverside Daniel R. Jeske, Director Department
of Statistics Theodore Younglove, Manager August
3, 2004

• Topics Covered
• The Mission at UCR
• Our Staff
• A Glimpse of Who Weve Been Working With
• Our Link to Graduate Student Training

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The Statistical Consulting Collaboratory at
UC-Riverside
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A Brief History of Statistical Consulting at UCR
Initial Leadership for a Statistical Consulting
Laboratory was from Department of Statistics
Beginning around 1994 with Prof. David
Strauss, Emeritus Prof. Keh-Shin Lii Prof.
Robert Beaver Service was unofficial, in a
volunteer mode motivated by Labors of Love and a
sense of Professional Responsibility. Idea
conceived in 2001 for an Official Director of a
Statistical Consulting Collaboratory with joint
support from College of Natural and Agricultural
Sciences, College of Humanities, Arts and Social
Sciences and the Office of Computing and
Communications. Funds were provided for a staff
position (Manager) and a faculty position in the
Department of Statistics (Director) to provide
the leadership for upholding the reputation of
what had already been established and to grow the
initiative in both the on-campus and off-campus
dimensions.
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Our Staff
Daniel Jeske, Director
Ted Younglove, Manager
Junmei Liu Grad Student RA
Yang Yang Grad Student RA
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Collaboratory Project Funnel
A
Yes
All consulting fees go to the support of the
GSRs, equipment, travel costs, and supplies for
the collaboratory.
Yes
No
Class Project?
No
Client chooses between following
options depending on time and cost constraints
Zero cost, no promise for complete solution
Increasing Hourly Rate, Decreasing
Turn-Around-Time
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Clients in the Statistical Collaboratory
2003
2004
Clients Served
9/1/2003
4/21/2004
Elapsed Time
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A Profile of Our Clients During the 2003-2004
Academic Year
Consulting Fees On-Campus Rate 62/hour
Off-Campus Rate 105/hour Consulting revenues
are 100 invested in supporting graduate students
who work in the Collaboratory
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Scope of Statistical Techniques

• Repeated Measures Analysis
• Sample Size Determination
• Reliability Modeling with Preventive Maintenance
• Split-plot ANOVA
• Queuing analysis
• Probit Regression
• Contrasts in a Randomized Block Design
• Principal Component Analysis
• Binomial p confidence intervals
• G2 test for equal Binomial p-values
• Non-linear regression
• Concordance Correlation
• Bootstrap bias correction
• Inter-rater reliability measures
• Analysis of Covariance
• Polytomous Regression
• Hypothesis Testing with Ordered Alternatives
• Sequential Hypothesis Testing
• Mixed Model Inference Procedures

Project was Utilized in Statistical Consulting
Class
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Other Collaboratory Resources
Help Desk Staffed TBD hours/week for
assistance with walk-in questions about
statistical software Statistical Computing
Laboratory Free access to computer labs
equipped with PCs running site licenses for
Statistics packages (SAS, R/Splus, SPSS,
Minitab, Stata, MatLab) and simulation
software (OPNET). Instructional PC classrooms
equipped with client-server software to
broadcast teacher-to-student analysis
demonstrations Sponsored Workshop Colloquium
Series 2003 program included talks on GIS
Systems and Social Network Analysis 2004
program STATA workshop (completed), SAS Day
(completed),
Statistical Methods in Genetics (upcoming),
Comparison/Contrast
of Statistical SW packages (upcoming)
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Survivor Functions With Preventive Maintenance
March AFB
Weibull (2,22.57) Lifetime Distribution Expected
Life 20 Years
Smooth Curve No Preventive Maintenance
Preventive Maintenance at T15.5 Years
(Years)
http//www.collaboratory.ucr.edu
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Waiting Time Distribution for Alternative Number
of Machines (Treadmill)
UCR Student Recreational Center
M1 M5 M8 M9 M10 M11 M12 M15 M20
Current number Of machines, M 10
Probability Wait Time gt t
Waiting Time (minutes), t
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Polychotomous Regression for Scores on Two
Writing Tasks Taken By Two Levels of Students
La Sierra University Graduate Students
Level 1 Task 1
Level 1 Task 2
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Bioassay Study of Four Fly Repellants
Department of Entomology