Ding Lab

Research focus

NIH R01 · 2024

New statistical methods and software for modeling complex multivariate survival data with large-scale covariates

ABSTRACT In randomized clinical trials and observational studies, multivariate outcomes are increasingly used as co- primary endpoints to study complex diseases or clinical outcomes comprised of co-morbidities. Some modern studies also collect large-scale genetics or image data for the potential of individualized risk prediction and precision medicine development. Moreover, the precise event times for non-fatal events are sometimes unobservable because the event status can only be determined at intermittent assessment times. The non- fatal events may also be censored by fatal events (i.e., death) which results in semi-competing risks data. The complex multivariate survival outcome together…

From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.