Using smart statistical methods to combine complex clinical trial results
Use Bayesian methods to facilitate the data integration for complex clinical trials
It builds smart Bayesian tools to combine different kinds of trial data so researchers can find safer, faster personalized treatments.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Indiana University Indianapolis NIH-funded |
| Lab location | 1 site (Indianapolis, United States) |
| Project ID | NIH-11173620 on NIH RePORTER |
What this research studies
This project will create Bayesian statistical models that bring together different kinds of clinical trial information such as side effects, survival times, biomarkers, and results from patient-derived organoids. The team will jointly model organoid responses with paired clinical outcomes to help select and verify personalized therapies. They will also design subgroup-specific dose-optimization models to balance risks and benefits for different patient groups. The methods will be developed and tested using existing trial data and biological samples so they can be applied in future trials.
Who could benefit from this research
Good fit: Ideal candidates are people enrolled in clinical trials who can provide clinical data and, when appropriate, donate tissue samples for organoid testing.
Not a fit: Patients whose conditions are not represented in the analyzed trials or who cannot provide clinical data or tissue samples may not see direct benefit from this work.
Why it matters
Potential benefit: If successful, these tools could speed drug development, improve dose choices, and help match treatments to individual patients.
How similar studies have performed: Bayesian and adaptive designs have improved several trials before, but combining organoid data with multiple heterogeneous endpoints in this integrated way is relatively new.
Where this research is happening
Indianapolis, United States
- Indiana University Indianapolis — Indianapolis, United States (Active)
Researchers
- Principal investigator: Zang, Yong — Indiana University Indianapolis
- Study coordinator: Zang, Yong
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.