Application of multivariate joint modeling of longitudinal biomarkers and time-to-event data to a rare kidney stone cohort

Application of multivariate joint modeling of longitudinal biomarkers and time-to-event data to a rare kidney stone cohort

Abstract Background: Time-dependent Cox proportional hazards regression is a popular statistical method used in kidney disease research to evaluate associations between biomarkers collected serially over time with progression to kidney failure. Typically, biomarkers of interest are considered time...

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Bibliographic Details
Main Authors:	Lisa E. Vaughan, John C. Lieske, Dawn S. Milliner, Phillip J. Schulte
Format:	Article
Language:	English
Published:	Cambridge University Press 2023-01-01
Series:	Journal of Clinical and Translational Science
Subjects:	Joint models survival analysis biomarkers kidney failure primary hyperoxaluria
Online Access:	https://www.cambridge.org/core/product/identifier/S2059866122004654/type/journal_article

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