Website
http://dataportal.arc.gov.au/NCGP/API/grants/DP220102249
Funding Status
Active
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Funded Activity Summary
High Predictive Performance Models via Semi-Parametric Survival Regression. This project will develop novel statistical models for high prediction performance. When applied to help doctor to treat patients, these models allow the users to include gene or other biomarkers for predicting effectiveness of a treatment. When applied to risk management in finance, these models are capable to include an organization's or individual's ongoing finance status to predict, for example, the probability of or time to loan default. Innovative computational methods will be developed for fitting these models. Compared to traditional prediction method, this approach allows greater flexibility while being superior in terms of statistical accuracy and bias. Extensive analyses of healthcare data from diverse fields will be undertaken.Funded Activity Details
Start Date: 06-2022
End Date: 05-2025
Funding Scheme: Discovery Projects
Funding Amount: $405,000.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Biostatistics | Clinical Sciences not elsewhere classified | Statistics |
ANZSRC Socio-Economic Objective (SEO)
Application Software Packages (excl. Computer Games) | Expanding Knowledge in the Mathematical Sciences | Expanding Knowledge in the Medical and Health Sciences
