Analyzing how unmeasured factors affect cancer treatment trial results
Official title: A sensitivity analysis framework for generalizing randomized clinical trial results in the presence of unmeasured treatment effect modifiers
Funded at Ohio State University · NIH-11005042 · Data updated 2026-11-12
This study is looking at how differences between people in cancer treatment trials and those in the general population can affect how well treatments work, so we can better understand and apply trial results to help all patients.
Quick facts
| Grant type | R03 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Ohio State University NIH-funded |
| Lab location | 1 site (Columbus, UNITED STATES) |
| Project start | January 1, 2024 |
| Project end | November 30, 2025 |
| Funding year | 2025 |
| Award (this year) | $80,739 |
| NIH project number | 5R03CA280007-02 |
| Project ID | NIH-11005042 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include cancer patients who have participated in clinical trials or are considering participation in future trials.
✕Less likely to help
Patients who are not involved in clinical trials or those with conditions unrelated to cancer may not benefit from this research.
What this research studies
This research aims to improve the understanding of how unmeasured differences between participants in cancer treatment trials and the broader patient population can impact the effectiveness of treatments. By developing a statistical framework, the researchers will quantify the potential biases that arise when trial results are generalized to the general population. This approach will help identify how these unmeasured factors may influence treatment outcomes, ultimately leading to more accurate interpretations of clinical trial data. Patients can benefit from this research as it seeks to enhance the applicability of trial results to diverse populations.
Why it matters
Potential benefit: If successful, this research could lead to more reliable cancer treatment recommendations that are applicable to a wider range of patients.
How similar studies have gone: Previous research has shown that addressing biases in clinical trial data can significantly improve treatment applicability, indicating that this approach has potential for success.
Where this research is happening
-
Ohio State University
Columbus, United States Active
Researchers
- Principal investigator: Andridge, Rebecca Roberts — Ohio State University
- Study coordinator: Andridge, Rebecca Roberts
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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.