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Application of multivariate joint modeling of longitudinal biomarkers and time-to-event data to a ra...

Application of multivariate joint modeling of longitudinal biomarkers and time-to-event data to a ra...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_145f26a9a1a14d0dbd1c5f3b6673a5fd

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

About this item

Full title

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

Publisher

England: Cambridge University Press

Journal title

Journal of clinical and translational science, 2023, Vol.7 (1), p.e8-e8, Article e8

Language

English

Formats

Publication information

Publisher

England: Cambridge University Press

More information

Scope and Contents

Contents

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-dependent covariates being updated at each new measurement using last ob...

Alternative Titles

Full title

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

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_145f26a9a1a14d0dbd1c5f3b6673a5fd

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_145f26a9a1a14d0dbd1c5f3b6673a5fd

Other Identifiers

ISSN

2059-8661

E-ISSN

2059-8661

DOI

10.1017/cts.2022.465

How to access this item