StatLab
Statistical consulting for better research
Overview
StatLab provides accessible, high-quality statistical consulting services to University of Delaware graduate students, faculty, staff, and administrators. Requests from outside companies and organizations are considered when capacity permits.
StatLab is part of the Statistics Program in the Department of Applied Economics and Statistics at the University of Delaware. Consultations are provided by a collaborative team of Statistics faculty and supervised graduate student consultants. Each request is reviewed and matched with consultants whose expertise fits the project.
StatLab helps researchers design studies, analyze data, interpret results, and address statistical components of grant proposals. In the era of artificial intelligence (AI), we also help researchers critically evaluate AI-assisted statistical analyses to ensure the appropriate application and interpretation of statistical methods.
Mission
- Education: To train students of the Statistics Program to interact effectively with investigators from a variety of disciplines.
- Research Participation: To enhance the quality of experimental and other research at the University by providing high-quality statistical advice.
- Collaboration: To encourage collaborative research between statisticians and investigators from other disciplines, both within and outside the University of Delaware.
Services
StatLab helps researchers select and apply appropriate statistical methods. Services include:
- Research Design – Assistance with study design, experiments, surveys, sampling, and data collection.
- Statistical Analysis – Assistance in selecting appropriate statistical methods and interpreting results.
- Statistical Computing – Assistance with statistical software, programming, and interpretation of statistical output.
- AI-Assisted Statistical Analysis – Guidance on evaluating statistical methods, code, and interpretations generated with AI tools.
- Research Collaboration – Statistical support for grant proposals, manuscripts, and collaborative research projects.
Request Consulting
- Request Statistical Consulting
- You will be contacted regarding scheduling, generally within one week of your request.
Initial consultation and one follow-up session are offered at no charge, subject to availability. Extended assistance, funded work, and research collaboration are discussed after the initial review.
Statistics Faculty Expertise
Our Statistics faculty have expertise in a broad range of statistical methods and applications, including statistical modeling, experimental design, high-dimensional data analysis, biostatistics, machine learning, and data science.
The following faculty members contribute to research, teaching, and statistical methodology across diverse disciplines.
Faculty | Position | Areas of Expertise |
Associate Professor of Statistics | High-dimensional data analysis, multivariate analysis, dimension reduction, longitudinal data analysis, imaging data analysis | |
Assistant Professor, Statistics Online Program | Statistical simulation and modeling, decision-making, behavioral economics | |
Assistant Professor of Statistics | Biostatistics, experimental design for survival models, medical research applications | |
Professor and Director of Applied Statistics | Missing data methods, high-dimensional statistics, clinical trial methodology, clinical and mental health applications | |
Associate Professor of Statistics | Regression analysis, neural networks, statistical process control, engineering applications | |
Professor of Statistics | High-dimensional modeling, machine learning, dimension reduction, nonparametric and semiparametric methods, forecasting | |
Associate Professor of Statistics; StatLab Director | High-dimensional data analysis, statistical genomics, multiple testing, Bayesian modeling, equivalence testing | |
Assistant Professor | High-dimensional statistics, statistical machine learning, network and graph data analysis, multivariate analysis |