What is the Evaluation and Statistics Hub?
The Evaluation and Statistics Hub encompasses aspects of design, data collection, and analysis as well as assistance with manuscript editing and submission.
To request evaluation and/or statistical support, please complete our online form and a staff member will contact you within 48 hours.
Specific support options include:
Power calculation or sample size
Survey design
Interview or focus group design
Study design consultation
Literature searches
Statistical analysis consultation
Project evaluation consultation
Database design and development
Data entry, management, and analysis
Manuscript: statistical methods (edit/review)
Manuscript: general edits, journal selection, and submission reports
Evaluation and Statistics Hub Expert Consultants
Rebekah Pratt, PhD
Research expertise: Qualitative methodologist, Video Reflexive Ethnography (VRE), qualitative study design, data collection, and analysis, community centered care, social determinants of health to improve medical care.
Dr. Pratt's Faculty Profile Experts@Minnesota Profile
rjpratt@umn.edu
Serena Xiong, PhD, MPH
Research expertise: Dissemination and implementation science, qualitative and quantitative research methods, health equity, community-engaged research, data visualization, and program evaluation.
Dr. Xiong's Faculty Profile
Junia N. de Brito, PhD, MPH, MBA
Research expertise: Observational and experimental research, survey research, descriptive epidemiology methods, longitudinal and life course approaches, multilevel modeling, and qualitative research methods. I use advanced epidemiologic methods focused on generating insights that contribute to our understanding of the complex interplay between social factors and clinically relevant public health outcomes.
Dr. de Brito's Faculty Profile
Experts@Minnesota Profile
nogue013@umn.edu
Evaluation & Statistics Hub SupportĀ
Kristen Klemenhagen, PhD, MS
For support with survey design and analysis, data visualization and communication, small data sets, and equity issues in data analysis. I work with Family Medicine investigators to assist with study design and planning, protocol development, quantitative data analysis, and results communication. Typical statistical approaches that I use are descriptive statistics, association, correlation, linear and logistic regression, group differences (t-test, ANOVA), and basic survival analysis.
kristenk@umn.edu
Annette Nicolai
Database Technician
nicol003@umn.edu