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Statistical Consulting - Services and Support

The Statistical Consulting Service currently provides assistance to clients at various stages of the research process. Below are the various services.

Support Services

Planning Phase. Consultants will discuss: 

  • your research goals and assist you in identifying aspects of your research that may benefit from the application of statistical principles 
  • the design of experiments; e.g., identification of response variables, factors, and type of statistical design appropriate for your research. 
  • mechanisms for collecting, entering (e.g., Excel) and handling data prior to statistical analysis. 

Data Organization and Analysis Phase. Consultants will: 

  • assist in managing and processing data. 
  • suggest appropriate statistical methods for data analysis. 
  • obtain data from client, perform appropriate statistical analyses. 

Communication of Results Phase. Consultants will: 

  • recommend methods of data presentation, portrayal of results. 
  • facilitate graphical display of data by pre-processing your data and generating transportable formats like png. 
  • generate presentation graphics for clients as needed. 
Most of our consulting work is done using SAS. We also have experience with SPSS (Curt), JMP (Curt) and R (Statistics Graduate Students). 

Our experience with statistical methods is fairly broad, but certain methods comprise a lot of our consulting efforts. These include: 
  • regression (linear, nonlinear, logistic) 
  • ANOVA including repeated measures and mixed models 
  • discrete data analysis methods (e.g., frequency tables with chi-square tests) 
  • multivariate methods 
Recent years have seen increases in the use of methods such as Generalized Linear Mixed Models (GLMMs), resampling techniques (bootstrapping, permutation tests and Monte Carlo methods) and graphical methods/visualization techniques. If you are interested in assistance with areas not listed, feel free to check with us anyway -- we have used many other methods not listed and we are always looking to broaden our experiences. 

Collaborative Efforts 

Members of the Statistical Consulting Service are interested in collaborative work with researchers in virtually any discipline. Examples of such projects include but are not limited to: 
  • reviewing the exposition of statistical results in proposals and manuscripts - previously this has included reviewing papers by faculty from various departments.
  • contributing to collaborative projects throughout the duration of the research process. This could include visiting the laboratory or research site to better understand the research project.
Members of Statistical Consulting have been included as coauthors on manuscripts when our contributions were deemed worthy of inclusion.  A few selected examples are listed below where the primary subject matter researchers felt that the statistical contribution was significant enough to merit co-authorship. We agree to co-authorship only if we believe we have contributed significantly to the content and the primary authors offer to include us. There are many other instances where our efforts have been acknowledged. 
  1. Knutson EM, Richman DB and Doetkott C. 2010.
    Arboreal Spider Ecology on Saltcedar (Tamarix) at Big Spring, Howard County, Texas.
    Southwestern Entomologist V35(4) 513-523. 
  2. Johnson TJ, Wannemuehler Y, Doetkott C, Johnson SJ, Rosenberger SC, and Nolan LK. 2008.
    Identification of Minimal Predictors of Avian Pathogenic Escherichia coli (APEC) Virulence for Use as a Rapid Diagnostic Tool.
    J Clin Microbiology 46(12): 3987-3996. 
  3. Rodriguez-Siek K, Giddings CW, Doetkott C, Johnson TJ, Fakhr MK and Nolan LK. 2005.
    Comparison of Escherichia coli Isolates Implicated in Human Urinary Tract Infection and Avian Colibacillosis.
    Microbiology 151:2097-2110.  
  4. Rodriguez-Siek K, Giddings CW, Doetkott C, Johnson TJ, and Nolan LK. 2005.
    Characterizing the APEC Pathotype.
    Vet. Res. 36:241-256.  
  5. Schnell CA, Louis KS and Doetkott . 2003.
    The First-year Seminar as a Means of Improving College Graduation Rates.
    Journal of the First-Year Experience and Students in Transition. Vol. 15(1) 53-75. 
  6. Schnell CA and Doetkott CD. 2003.
    First Year Seminars Produce Long-term Impact.
    Journal of College Student Retention. Vol. 4(4) 377-391.
  7. Finck KM, Doetkott C and Miller D. 2001.
    Clinical Impact of Interlaboratory Variation in International Normalized Ratio Determinations.
    Am J Health-Syst Pharm 58(8), 684-88. 
  8. Rayas-Duarte P, Majewska K, and Doetkott C. 1998.
    Effect of Extrusion Process Parameters on the Quality of Buckwheat Flour Mixes.
    Cereal Chemistry 75(3):338-345. 
  9. Debbouz A and Doetkott C. 1996.
    Effect of Process Variables on Spaghetti Quality.
    Cereal Chemistry 73(6):672-676. 


Statistical Consulting Office: Quentin Burdick Building 210B, 701-231-1077
Curt Doetkott: Quentin Burdick Building 210F, 701-231-7031

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Keywords:stats, statistics, consult, service, data, methods, analysis, consults   Doc ID:103079
Owner:Curt D.Group:IT Knowledge Base
Created:2020-06-16 10:20 CDTUpdated:2021-09-21 13:27 CDT
Sites:IT Knowledge Base
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