Improving how we compare the effectiveness of different medical treatments using advanced statistical methods.
Official title: Novel and Rigorous Statistical Learning and Inference for Comparative Effectiveness Research with Complex Data
Funded at Rutgers, the State Univ of N.j. · NIH-10918052 · Data updated 2026-11-12
This study is looking at how different medical treatments and drugs work for patients, using new methods to make sure the information is accurate, so that you and your healthcare provider can make better choices about your care.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Rutgers, the State Univ of N.j. NIH-funded |
| Lab location | 1 site (Piscataway, United States) |
| Project start | September 1, 2023 |
| Project end | August 31, 2027 |
| Funding year | 2024 |
| Award (this year) | $346,770 |
| NIH project number | 5R01LM014257-02 |
| Project ID | NIH-10918052 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals with conditions such as adult-onset diabetes, atrial fibrillation, or those who are prescribed anticoagulant medications.
✕Less likely to help
Patients with conditions not related to the focus areas of this research may not receive any direct benefit.
What this research studies
This research focuses on enhancing comparative effectiveness research (CER) to better understand the differences in effectiveness and safety between various medical treatments and drugs. By developing new statistical methods, the project aims to analyze complex data more accurately, which can lead to more reliable information for patients and healthcare providers. The research will involve rigorous statistical modeling to draw valid conclusions from observational studies, ultimately helping to inform healthcare decisions. Patients can expect that the findings may lead to improved treatment options tailored to their specific needs.
Why it matters
Potential benefit: If successful, this research could provide patients with more accurate information about the effectiveness of different treatments, leading to better healthcare decisions.
How similar studies have gone: Other research has shown success in using advanced statistical methods for comparative effectiveness research, indicating that this approach is promising.
Where this research is happening
-
Rutgers, the State Univ of N.j.
Piscataway, United States Active
Researchers
- Principal investigator: Tan, Zhiqiang — Rutgers, the State Univ of N.j.
- Study coordinator: Tan, Zhiqiang
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.