Improving methods for trials on tropical infectious diseases
Official title: Improving the design and statistical analysis of cluster-randomized trials on tropical infectious diseases
Funded at University of Michigan at Ann Arbor · NIH-11113968 · Data updated 2026-11-12
This study is working on better ways to test new treatments for tropical diseases like dengue and malaria, so that the results are more reliable and can help improve health strategies in areas where these diseases are common.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project start | June 12, 2024 |
| Project end | May 31, 2026 |
| Funding year | 2025 |
| Award (this year) | $248,648 |
| NIH project number | 5R00AI173395-03 |
| Project ID | NIH-11113968 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals living in tropical regions who are at risk of infectious diseases such as dengue, Ebola, and malaria.
✕Less likely to help
Patients not residing in tropical areas or those not affected by the targeted infectious diseases may not benefit from this research.
What this research studies
This research focuses on enhancing the design and statistical analysis of cluster-randomized trials (CRTs) that evaluate new interventions for tropical infectious diseases like dengue and malaria. The project aims to develop robust statistical methods that can effectively handle the complexities of these trials, ensuring accurate results and interpretations. By addressing challenges in trial designs, the research seeks to improve the reliability of findings that can ultimately inform public health strategies in affected regions.
Why it matters
Potential benefit: If successful, this research could lead to more effective interventions against tropical infectious diseases, improving health outcomes in vulnerable populations.
How similar studies have gone: Previous research has shown that improving statistical methods in clinical trials can significantly enhance the validity of findings, indicating a promising avenue for this approach.
Where this research is happening
-
University of Michigan at Ann Arbor
Ann Arbor, United States Active
Researchers
- Principal investigator: Wang, Bingkai — University of Michigan at Ann Arbor
- Study coordinator: Wang, Bingkai
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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.