Graduate Statistics Lab

Through a partnership with the College of Arts and Sciences (CAS) and the Graduate Student Association (GSA), all UB graduate students can receive free assistance with statistical aspects of their final projects (thesis, dissertation, qualifying paper/projects, course assignments). The lab caters to students with all levels of experience, even those with no stats background. Statistics workshops for students of all levels are also offered periodically.

The focus of this lab is to strengthen quantitative skills, so that the student can independently interpret and draw conclusions from their analysis. The lab will offer guidance on research projects by instructing students on principles of research design, teaching statistical concepts and procedures, and assist students with using/troubleshooting analytical software.

Registered graduate students can seek statistical support in 450 Park Hall at designated hours provided by the Statistics Lab Assistant during the academic year. 

Office Hours

Monday: 8:30-11:30am
Friday: 8:30-11:30am
Or by appointment

For an initial consultation, please stop by office hours or schedule an appointment by contacting Jou Fei Huang via email at

Assistance includes (but is not limited to):

Research Design

  • Technical aspects/principles of theory development and hypothesis testing
  • Experimental design
  • Survey design and sampling
  • Secondary data analysis

Quantitative Methods

  • Linear regression, logistic regression, and generalized logistic regression
  • Multilevel modeling
  • Structural equational modeling
  • Experimental methods and testing
  • Data mining/text analysis

Statistical Software and Programming

  • STATA, R, and SPSS.


Getting Started with Stata for Statistics and data cleaning

Sept. 6, 2019

This workshop introduces students to Stata and some useful commands for data cleaning. Topics include merging datasets, transform data, generate variables, etc.

Getting Started with R for Statistics

Sept. 20, 2019   

This workshop introduces students to R and RStudio. Topics include software download and installation, useful resources for self-learning, basic expressions and functions, and conducting basic descriptive statistics and regression analysis.

The interactive effect in R and Stata

Sept. 27, 2019

This workshop briefly covers how to correctly interpret the interactive effect using R and Stata. This workshop will introduce some new R packages, and margins command in Stata.