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

2024 – 2025 Workshop Series: Quantitative Methods for HIV Researchers

Registration is open for Part I: Data Science Workshops. Register using this link by Tuesday, October 3, 2024.

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 once-a-week workshops held on Mondays from 1 – 4 PM. The seminars will be at Hock Plaza, and participants are encouraged to attend in person to get the most benefit. Those unable to attend in person have the option to attend virtually. Enrollment is capped at 24 participants, and participants who enroll after the cap is met will be added to a waitlist.

• 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. We will discuss power, type I error, hypothesis testing, linear and logistic regression, and predictive modeling.  
• 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.

Registration
Register by Tuesday, October 3rd.       REGISTER HERE

2024 – 2025 Workshops Schedule

PART I: Data Science Workshops (must commit to attend all 6 sessions)

PART II: Statistical Thinking Workshops (must commit to attend all 6 sessions)

PART III: Bioinformatics Workshops (must commit to attend all 6 sessions)