Improving methods to predict risks over time using advanced models.
Official title: PREDICTION ERROR MEASURES FOR CONTINUOUS TIME COMPETING RISK MODEL
NIH-11210981 · Data updated 2026-11-12
This study is looking at ways to make risk predictions more accurate for patients, so they can get better treatment options and outcomes based on their specific health situations.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Project start | August 26, 2024 |
| Project end | August 25, 2025 |
| Funding year | 2024 |
| Award (this year) | $19,900 |
| NIH project number | 75N91024P00637-0-0-1 |
| Project ID | NIH-11210981 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals who are at risk for conditions that can be modeled using continuous time risk prediction methods.
✕Less likely to help
Patients with conditions that do not fit into the continuous time competing risk framework may not benefit from this research.
What this research studies
This research focuses on enhancing the accuracy of risk predictions using a continuous time competing risk model. By developing new measures for prediction errors, the study aims to refine how risks are forecasted in various medical scenarios. Patients may benefit from improved risk assessments that can lead to better-informed treatment decisions and outcomes. The methodology involves advanced statistical modeling techniques that analyze data over two different time scales.
Why it matters
Potential benefit: If successful, this research could lead to more accurate risk predictions, helping patients receive timely and appropriate interventions.
How similar studies have gone: While the approach is innovative, similar predictive modeling techniques have shown promise in other areas of medical research.
Where this research is happening
Middleton, United States
Researchers
- Principal investigator: Fine, Jason
- Study coordinator: Fine, Jason
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.