Bayesian functional joint models for multivariate longitudinal and time-to-event data
type: Item
instance of: scholarly article
title: Bayesian functional joint models for multivariate longitudinal and time-to-event data
zbMATH Open document ID: 1469.62103
author: Kan Li
author: Sheng Luo
published in: Computational Statistics and Data Analysis
publication date: 2018-10-19T00:00:00Z
full work available at URL: pmc6294314
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6958734
zbMATH Keywords: longitudinal functional data
zbMATH Keywords: joint modeling
zbMATH Keywords: dynamic prediction
zbMATH Keywords: Alzheimer's disease
cites work: NUTS
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cites work: Q3172405
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cites work: Semiparametric Regression
cites work: Q5701065
cites work: Dynamic prediction for multiple repeated measures and event time data: an application to Parkinson's disease
describes a project that uses: NUTS
describes a project that uses: WinBUGS
describes a project that uses: SemiPar
describes a project that uses: BayesDA
describes a project that uses: FSL
MaRDI profile type: Publication
OpenAlex ID: W2885740872
Wikidata QID: Q90597827
DOI: 10.1016/J.CSDA.2018.07.015
description: scientific article; zbMATH DE number 6958734