Improving vaccine effectiveness and safety assessments using advanced methods.
Accounting for Hidden Bias in Vaccine Studies: A Negative Control Framework
This study is working on improving how we understand the safety and effectiveness of vaccines by using smart new methods to spot and fix hidden issues in the data, so we can make better decisions about vaccinations for everyone.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Michigan at Ann Arbor NIH-funded |
| Lab location | 1 site (Ann Arbor, United States) |
| Project ID | NIH-10747350 on NIH RePORTER |
What this research studies
This research focuses on enhancing the accuracy of vaccine effectiveness and safety studies by developing new methods to address hidden biases that can affect results. It utilizes negative control variables, which are known not to be influenced by the treatment, to identify and correct for unmeasured confounding factors. By applying modern machine learning techniques, the study aims to provide a more reliable evaluation of vaccines using data from healthcare records and innovative study designs. This approach could lead to better-informed health policies and practices regarding vaccinations.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals receiving vaccinations and those involved in vaccine studies, particularly in settings where data is collected from electronic health records.
Not a fit: Patients who are not involved in vaccination programs or those who do not have access to healthcare data may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more accurate assessments of vaccine effectiveness and safety, ultimately improving public health outcomes.
How similar studies have performed: Other research has shown promise in using negative control methods to address biases in medical studies, indicating that this approach has potential for success.
Where this research is happening
Ann Arbor, United States
- University of Michigan at Ann Arbor — Ann Arbor, United States (Active)
Researchers
- Principal investigator: Shi, Xu — University of Michigan at Ann Arbor
- Study coordinator: Shi, Xu
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 below.