Project Grant 2515361
- This $300,000 Project Grant award from the National Science Foundation (NSF) Division of Mathematical Sciences (CFDA 47.049 - Mathematical and Physical Sciences) supports research to develop new nonparametric theory and methods for analyzing censored data. The key objectives are to: Establish a distributional theory for spline-based estimates in various censored data models, which is currently lacking in the literature. Investigate the use of deep neural networks with full likelihood-based...
- This National Science Foundation (NSF) Directorate for Mathematical and Physical Sciences (CFDA 47.049) Project Grant of $229,710 awarded to the University of North Carolina at Charlotte will develop novel semiparametric statistical models and algorithms to enable more effective analysis of censored data, with applications in personalized medicine. The project aims to extend existing transformation models in survival analysis to better handle challenging data structures. Additionally, it will...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program will advance the state-of-the-art in nonparametric learning for high-dimensional survival analysis. The $100,000 award, effective July 1, 2024 through June 30, 2027, will support the development of novel supervised embedding and robust nonparametric methods for causal inference and sequential decision-making on high-dimensional survival data. The research aims to provide...
- This $200,000 project grant was awarded by the National Science Foundation's (NSF) Mathematical and Physical Sciences (CFDA 47.049) program to the University of Delaware. The grant will support the development of new nonparametric learning methods for high-dimensional survival data analysis, with applications in causal inference and sequential decision-making problems. The research aims to advance the state-of-the-art in areas like medical risk factor discovery, personalized treatment...
- The National Science Foundation (NSF) awarded a $168,894 Project Grant under the Mathematical and Physical Sciences (CFDA 47.049) program to the University of Virginia (UVA) to develop novel dynamic modeling and risk prediction methods for analyzing complex observational semi-competing risks data, with a focus on cancer studies. The 2-year project aims to achieve three key research objectives: 1) Develop a copula-based, time-varying coefficient, random-effect model for multilevel...
- The National Science Foundation (NSF) Division of Mathematical Sciences awarded a $200,000 Project Grant to The University Corporation, a non-profit organization located in Northridge, CA. The grant, funded under the NSF's Mathematical and Physical Sciences program (CFDA 47.049), focuses on developing new statistical modeling and data resampling methods to address challenges posed by incomplete, missing, and fragmented observations in large datasets. Key objectives include: Advancing...
- This National Science Foundation (NSF) Mathematical and Physical Sciences (CFDA 47.049) Project Grant award of $200,000 to the Georgia State University Research Foundation Inc. supports research to advance iteratively regularized numerical algorithms for reliable estimation of infectious disease parameters from noisy data. The project aims to develop new regularized alternating minimization algorithms to solve ill-posed parameter-estimation problems constrained by nonlinear dynamics, with...
- The University of Georgia Research Foundation, Inc. received a $245,404 Project Grant award from the National Science Foundation Division of Mathematical Sciences under the Mathematical and Physical Sciences federal grant program (CFDA 47.049). The award will support the development of novel statistical and machine learning methods to analyze mobility data from September 2023 through August 2026. Specifically, the researchers will reconstruct transmission time, identify infected individuals, and...
- The National Science Foundation awarded a $252,937 Project Grant under its Mathematical and Physical Sciences program (CFDA 47.049) to the University of Chicago. The purpose of this 3-year grant, which runs from September 1, 2023 to August 31, 2026, is to enhance statistical methods for analyzing temporally observed, multi-sample data in fields such as environmental science, epidemiology, and economics. The research team will develop innovative approaches to estimate and infer trends in data...
- This Project Grant award from the National Science Foundation's (NSF) Mathematical and Physical Sciences program (CFDA 47.049) provides $175,000 to the University of Georgia Research Foundation, Inc. to initiate a new paradigm for statistical inference of high-dimensional time series data. The project aims to develop self-normalized inference methods that can quantify the accumulative uncertainty of high-dimensional data collected over time, which has been a challenge with existing techniques....
This $119,952 Project Grant award from the National Science Foundation's Mathematical and Physical Sciences program (CFDA 47.049) supports the development of new and more accurate statistical methodologies for analyzing survival data. The research aims to overcome limitations of current semiparametric linear models used in vital areas like understanding time to disease onset, recovery after treatment, and mortality. Key project components include adopting the semiparametric accelerated failure time (AFT) model, using Laplace approximation to obtain less biased estimators, and developing a general bias correction method. This work will improve the assessment of clinical and environmental factors on patient outcomes, supporting better disease prevention and treatment strategies. The award to the Georgia Southern University Research & Service Foundation Inc. runs from August 2025 through July 2028 and includes mentoring graduate students, creating interdisciplinary coursework, and making developed software tools openly available to encourage reproducibility and accessibility in scientific research.
Mod # | Description | ReasonForModification | Federal Obligation | Date |
|---|---|---|---|---|
| Not listed | $120.0k | 8/5/25 |