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

2023 -2024 Workshop Series: Quantitative Methods for HIV Researchers

Registration for the Part III: Assays Workshops is open through Monday, February 26, 2024.
Click here to register: https://duke.qualtrics.com/jfe/form/SV_7TZZ2yDe3NBiVBs

The Quantitative Methods for HIV Researchers workshop series is designed to provide HIV researchers with the quantitative skills necessary for analysis of large, complex data sets resulting from assays such as single-cell RNA-seq, flow cytometry, fMRI, etc. These NIH-funded workshops are open to graduate students, postdocs, medical fellows, staff and faculty. Non-Duke-affiliated applicants are welcome.

The course will be taught at Hock Plaza, and it is highly recommended that you attend in person to get the most benefit. Those unable to attend in person have the option to attend virtually. The maximum number for the class is 24 – there is a waiting list when the limit is met.

The Part I workshops will teach you R language and environment skills needed for statistical computing and graphics. The R environment is an integrated suite of software facilities for data manipulation, calculation and graphical display, and knowledge of R is required for the Part II- Statistics Workshops and Part III- Assay Analysis Workshops.

In Part II of this workshop series, attendees will learn important concepts in statistics and perform statistical analyses using real HIV data. We will introduce different types of clinical research studies, perform exploratory data analysis with numerical and graphical summaries and introduce hypothesis testing, and appropriate methods for modeling different types of outcomes.

In Part III of this workshop series, attendees will learn skills for analysis of large, complex data sets resulting from assays.

2023 - 2024 Workshops Schedule

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

Part II:  Statistics Workshops (must commit to attend all 6)

Part III: Assays Workshops

Email questions to kelly.sune@duke.edu