New tools for better understanding HIV treatment outcomes
Official title: Innovative Computational Tools and Best Practice Recommendations for Analyzing HIV-related Count Outcomes
Funded at University of Washington · NIH-11123439 · Data updated 2026-11-12
This study is looking at how well people stick to their HIV treatment and is testing a new way to analyze this information so that doctors can better understand what helps or hinders patients, ultimately aiming to improve care and treatment strategies for everyone living with HIV.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Washington NIH-funded |
| Lab location | 1 site (Seattle, United States) |
| Project start | June 21, 2024 |
| Project end | April 30, 2026 |
| Funding year | 2025 |
| Award (this year) | $191,753 |
| NIH project number | 5R21AI179404-02 |
| Project ID | NIH-11123439 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals living with HIV who are currently undergoing antiretroviral therapy.
✕Less likely to help
Patients who are not currently receiving HIV treatment or those without access to antiretroviral therapy may not benefit from this research.
What this research studies
This research focuses on improving the analysis of critical health outcomes related to HIV treatment, such as how well patients adhere to their antiretroviral therapy. It introduces a new statistical model called the marginalized zero- and N-inflated binomial (MZNIB) model, which aims to provide more accurate insights into treatment adherence and other related behaviors. By addressing the limitations of traditional statistical methods, this research seeks to enhance the understanding of factors affecting patient outcomes in HIV care. Patients may benefit from improved treatment strategies based on more reliable data analysis.
Why it matters
Potential benefit: If successful, this research could lead to better treatment adherence strategies for HIV patients, ultimately improving their health outcomes.
How similar studies have gone: Other research has shown success in using advanced statistical models to analyze health outcomes, suggesting that this approach may yield valuable insights.
Where this research is happening
-
University of Washington
Seattle, United States Active
Researchers
- Principal investigator: Huh, David — University of Washington
- Study coordinator: Huh, David
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.