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Statistical Consulting Center

Computing Resources Available

The SCC staff maintains expertise in many popular statistical analysis software applications, including SAS, SPSS, R and Minitab. We also provide data importation from a wide variety of data formats, including Excel spreadsheets.

How to Use the Center

Contact the SCC at the earliest possible stage of your research. We recommend that potential clients contact the SCC at the earliest possible stage of research planning and manuscript or grant preparation to help ensure a successful statistical analysis.  If you would like to discuss your statistical design and analysis needs with the SCC, or if you need additional information, call the Center at 529-5148 or e-mail the center to set up an appointment.

Manager of Statistical Consulting Center

Michael Huges
308 Upham Hall

Services Provided by the SCC

The SCC can play an effective role as a member of your research team, providing valuable input and expertise in the analysis of your research data. Specifically, we can assist in the following areas:

Study Planning and Proposal Preparation

The SCC is happy to assist you in the preparation of research proposals, providing guidance in both the sizing of statistical studies and the development of methods section writeups.

Data Management

We can update or manipulate research data from any one of a number of data or spreadsheet formats and can offer advice regarding how to structure your data most effectively for analysis. We can also provide assistance with many popular data analysis software applications.

Data Analysis

The SCC is fully qualified to provide you with data analysis capabilities ranging from the most basic standard descriptive statistical techniques to the most powerful modern inferential statistical methods. Areas of expertise include:

  • Design of Experiments and Analysis of Variance
  • Multiple Regression (including response surface methodology and robust regression methods)
  • Generalized Linear Models (including logistic/probit/Poisson regression, linear and non-linear mixed models)
  • Multivariate Data Analysis techniques
  • Biostatistics and Survival Analysis
  • Categorical Data Analysis
  • Nonparametric Statistics
  • Quality Control and Industrial Statistical Methods
  • Sample Survey Design Analysis
  • Exploratory Data Analysis (EDA)
  • Bayesian Methods
  • Computational Methods (including Monte Carlo simulation and bootstrap methods)

SCC Faculty and Staff

Michael R. Hughes
M.S., Miami University
SCC Manager and Consultant

Dr. A. John Bailer
Ph.D., University of North Carolina
Biostatistics, Quantitative Risk Estimation, Statistical Methods for Environmental and Occupational Health

Dr. Robert Davis(Hamilton Campus)
Ph.D., University of Southwestern Louisiana
Statistical Process Control, Environmental Statistics

Dr. Charles Dunn
Ph.D., Texas A&M University
Statistics, Multivariate Analysis

Dr. Thomas Fisher
Ph.D., Clemson University
Multivariate Analysis, Time Series Analysis

Dr. SeonJin Kim
Ph.D., Pennsylvania State University
Time Series, Longitudinal data, Quantile regression

Dr. Byran Smucker
Ph.D., Pennsylvania State University
Experimental Design

Dr. Stephen E. Wright
Ph.D., University of Washington
Mathematical Optimization, Applications of Optimization in Science and Statistics

Dr. Jing Zhang
Ph.D., University of Missouri-Columbia
Bayesian Statistics, Spatial Analysis, Statistical Modeling for Environmental and Biological Study

Department of Statistics

McVey Data Science 262
105 Tallawanda Road
Oxford, OH 45056