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Welcome to the United States Renal Data System (USRDS) modeling research project page.
USRDS. The United States Renal Data System (USRDS), funded by the National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK), is national data system that collects, analyzes, and disseminate information on chronic kidney disease (CKD) and end-stage kidney disease (ESKD) in the United States (usrds.org). It includes data on nearly all patients on dialysis in the US. Our research primarily uses data from the USRDS.
Overarching Goal. Our main research aim is to develop novel statistical methods for USRDS modeling, with emphasis on modeling time-varying (dynamic) effects of risk factors on patient outcomes such as hospitalization and mortality. Our team also promotes wide collaboration on research studies examining the trajectories of ESKD and CKD, including risk factors for hospitalization and cardiovascular outcomes, risk prediction modeling, transition of care in CKD (TCCKD), and treatment pathways (e.g., dialysis, conservative management).
Funding. USRDS Modeling has been funded by NIDDK since 2011.
Announcements:
Multivariate spatiotemporal functional principal component analysis. Biostatistics, 2023, to appear.
A Bayesian multilevel time-varying framework for joint modeling of hospitalization and survival. Statistics in Medicine, Dec 2022 PubMed
6.17.21 - Senior Statistician position (19858-1A) available: Apply
Spatiotemporal patterns of hospitalization rates in the US dialysis population. Statistics in Medicine, 2021 Apr 26 PubMed
Multilevel joint models of hospitalization and survival in patients on dialysis, 2021 Jan 15, Stat
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