Quantitative Methods for HIV Researchers: Workshop Series

HIV/AIDS research is generating increasingly large and complex data sets. To analyze these data sets, we need the next generation of HIV/AIDS researchers to learn skills in data processing and statistical analysis, as well as increase collaboration with quantitative scientists such as statisticians, mathematicians, computer scientists and engineers. The curriculum will train HIV/AIDS researchers in the data science and statistics skills required to analyze multi-parameter data through a series of hands-on workshops

2025 – 2026 Workshop Series: Quantitative Methods for HIV Researchers

Register HERE by Monday, September 22, 2025

Overview

The Quantitative Methods for HIV/AIDS workshop series is designed to provide HIV researchers with a hands-on introduction to quantitative analyses both through simple and large, complex data sets. These NIH-funded workshops are open to graduate students, postdocs, medical fellows, staff, and faculty working in the HIV/AIDS field. Non-Duke-affiliated applicants are welcome.

Details

Each part of the series consists of six, virtual, once-a-week workshops held on Mondays from 1 – 4 PM through Zoom. 

• Part I workshops will teach reproducible research and R language skills along with an introduction to data analysis and study design. The seminars will be taught using RStudio. (Note: R knowledge is necessary for Part II- Statistics Workshops and Part III- Assay Analysis Workshops).
  • There will be a Day 0: Introduction to R seminar for those with no prior experience in R. Participants with R experience may skip this session, but are welcome to attend.
• Part II workshops will build on the statistical concepts discussed in Part 1 and the utilization of predictive models using previously published HIV data. Attendees will learn important concepts in statistics and perform statistical analyses using real HIV data. We will introduce hypothesis testing, multiple testing correction, linear and logistic regression, and high dimensional modeling. The final day is scheduled as a design studio where participants can sign up to discuss their work and receive feedback from instructors and fellow workshop attendees
• Part III workshops will teach bioinformatics skills for analysis of high throughput sequencing datasets.

NOTE: The material presented in Part I is a pre-requisite for Part II and Part III. Participants fluent with R, RStudio, and Git may skip the Part I Workshops, but must understand that the material covered in Part I will not be reviewed in Part II and Part III. Part I seminars will be recorded for attendees unable to attend Part I but interested in Parts II/III. Priority registration will be given to those who attended the previous parts.

2025 – 2026 Workshops Schedule

Part I: Data Science Workshops

9/29/2025       Introduction to R (*not a required workshop)

10/6/2025       Intro to Data Driven Research, Part 1

10/20/2025     Intro to Data Driven Research, Part 2

10/27/2025     Exploratory analysis and visualization, Part 1

11/3/2025       Exploratory analysis and visualization, Part 2

11/10/2025      Exploratory analysis and visualization, Part 3

11/17/2025      Case Study Walk-through

 

Part II: Statistical Thinking Workshops

January - February 2026      TBD

 

Part III: Assays Workshops

March - April 2026                 TBD