Multivariate spatiotemporal functional principal component analysis for modeling hospitalization and mortality rates in the dialysis population.

ABSTRACT: Dialysis patients experience frequent hospitalizations and a higher mortality rate compared to other Medicare populations, in whom hospitalizations are a major contributor to morbidity, mortality, and healthcare costs. Patients also typically remain on dialysis for the duration of their lives or until kidney transplantation. Hence, there is growing interest in studying the spatiotemporal trends in the correlated outcomes of hospitalization and mortality among dialysis patients as a function of time starting from transition to dialysis across the United States Utilizing national data from the United States Renal Data System (USRDS), we propose a novel multivariate spatiotemporal functional principal component analysis model to study the joint spatiotemporal patterns of hospitalization and m

SUBMITTER: Qian Q 

PROVIDER: S-EPMC11358256 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature