Improving clinical trials by using real-world data to reduce hidden biases
Methods to improve efficiency and robustness of clinical trials using information from real-world data with hidden bias
This study is looking to make clinical trials better by using real-world data to help ensure that new treatments are safe and effective for all kinds of patients, so everyone can benefit from the results.
Quick facts
| Grant type | U01 cooperative agreement |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Duke University NIH-funded |
| Lab location | 1 site (Durham, United States) |
| Project ID | NIH-10913527 on NIH RePORTER |
What this research studies
This research aims to enhance the efficiency and reliability of clinical trials by integrating real-world data (RWD) while addressing hidden biases that may affect trial outcomes. It focuses on developing new analytical methods to assess the validity of RWD when used alongside traditional randomized controlled trials (RCTs). By creating a framework to evaluate the robustness of results, the project seeks to ensure that treatments evaluated in trials are both safe and effective for diverse patient populations. This approach could lead to more inclusive and representative clinical trials, ultimately benefiting patients with various conditions.
Who could benefit from this research
Good fit: Ideal candidates for this research are patients who are eligible for clinical trials but may have been previously excluded due to the limitations of traditional trial designs.
Not a fit: Patients with conditions that are not typically included in clinical trials or those who do not meet the eligibility criteria for participation may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to faster and more accurate evaluations of new treatments, benefiting patients by making effective therapies available sooner.
How similar studies have performed: Other research has shown promise in using real-world data to enhance clinical trial designs, indicating that this approach could lead to significant advancements in the field.
Where this research is happening
Durham, United States
- Duke University — Durham, United States (Active)
Researchers
- Principal investigator: Wang, Xiaofei — Duke University
- Study coordinator: Wang, Xiaofei
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.