Gaussian outcomes with informed sampling for long-term studies of alcohol and depressive symptoms in HIV care
Official title: Gaussian outcomes Using Informed sampling strategies for Longitudinal studies with non-ignorable Dropout (GUILD) applied to the LATITUIDE (ACTG A5359) PEth substudy
Funded at University of Colorado Denver · NIH-11470085 · Data updated 2026-11-12
A new project will test a smarter way to study how baseline alcohol use affects changes in depressive symptoms over time in people with HIV, using smarter sampling to save cost and protect precious data.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Colorado Denver NIH-funded |
| Lab location | 1 site (Aurora, UNITED STATES) |
| Project start | September 15, 2026 |
| Project end | August 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $192,032 |
| NIH project number | 1R21AA033596-01 |
| Project ID | NIH-11470085 on NIH RePORTER |
Who could benefit from this research
✓Could help
Individuals with HIV enrolled in longitudinal studies who have varying levels of baseline alcohol exposure and would be followed for depressive symptoms.
✕Less likely to help
Participants in studies without longitudinal follow-up or without depressive symptom outcomes may not directly benefit.
What this research studies
This work adapts advanced statistical methods to analyze long-term study data without needing to test every sample. It focuses on continuous outcomes like depressive symptoms and uses informed sampling strategies when some participants drop out. The team will develop new analysis and study-design tools, validate them with simulations based on an HIV-related cohort, and share an R package with tutorials for broad use. The goal is to make future studies more efficient and accurate when specimens are limited or costly to assay. The LATITUDE HIV study and its LA(P)D sub-study provide the real-world context for applying these methods.
Why it matters
Potential benefit: If successful, the methods could enable more reliable conclusions from long-term HIV studies while reducing cost and preserving precious biospecimens.
How similar studies have gone: Previous work with binary outcomes showed valid inference under informative dropout; this project extends to Gaussian/continuous outcomes.
Where this research is happening
-
University of Colorado Denver
Aurora, United States Active
Researchers
- Principal investigator: Mawhinney-Delson, Samantha — University of Colorado Denver
- Study coordinator: Mawhinney-Delson, Samantha
Related research
Other NIH-funded projects on the same topics.
-
Understanding how alcohol and how couples talk about consent affect intimate partner sexual violence
This project studies how alcohol use and how partners communicate about consent influence intimate partner sexual violence among sexual minority and heterosexual couples.
-
How proteins change and move as heart cells develop
This grant aims to map how protein turnover changes as human iPSCs turn into cardiomyocytes and other cell types, using new labeling and mass-spectrometry methods.
-
Center for Health, Work and Environment
A national center dedicated to improving health in people who work, by studying how jobs affect well-being and safety.
-
Subtyping Core for Research on the Causes of Type 2 Diabetes (SCORE-T2D)
A new U01 grant from a university research team aims to understand why Type 2 diabetes differs so much between people and how to tailor prevention and treatment.
-
Expanded antibody-based clues to TB risk in people with HIV
A clinician-scientist seeks to understand how antibodies in people with HIV may drive the progression from latent TB to active TB, with the goal of identifying clues that could guide future care.
-
Human Trisome Project in Latin America Network
A large, multi-site study of people with Down syndrome across Latin America to better understand health and aging in DS.
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.