Simultaneous variable selection for joint models of longitudinal and survival outcomes

DOI10.1111/biom.12221zbMath1419.62367OpenAlexW1959203352WikidataQ35994957 ScholiaQ35994957MaRDI QIDQ3465745

Zhangsheng Yu, Zangdong He, Haoda Fu, Sijian Wang, Wanzhu Tu

Publication date: 22 January 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12221

zbMATH Keywords

EM algorithmGaussian quadratureCholesky decompositionjoint modelsALASSOmixed effect selection

Mathematics Subject Classification ID

Related Items (5)

Simultaneous variable selection and estimation for joint models of longitudinal and failure time data with interval censoring ⋮ Variable Selection for Interval‐censored Failure Time Data ⋮ An efficient estimation approach to joint modeling of longitudinal and survival data ⋮ Bayesian variable selection and estimation in semiparametric joint models of multivariate longitudinal and survival data ⋮ Joint modeling of longitudinal proportional measurements and survival time with a cure fraction

Cites Work

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• The Adaptive Lasso and Its Oracle Properties
• Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule
• A penalized likelihood approach to joint modeling of longitudinal measurements and time-to-event data
• Variable selection for Cox's proportional hazards model and frailty model
• Selecting mixed-effects models based on a generalized information criterion
• Shrinkage Tuning Parameter Selection with a Diverging number of Parameters
• Fixed and Random Effects Selection in Mixed Effects Models
• On Estimating the Relationship between Longitudinal Measurements and Time-to-Event Data Using a Simple Two-Stage Procedure
• Joint Variable Selection for Fixed and Random Effects in Linear Mixed-Effects Models
• Joint Analysis of Longitudinal Data Comprising Repeated Measures and Times to Events
• Penalized Estimating Functions and Variable Selection in Semiparametric Regression Models
• A Joint Model for Survival and Longitudinal Data Measured with Error
• Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
• Modelling Progression of CD4-Lymphocyte Count and Its Relationship to Survival Time
• Model Selection and Estimation in Regression with Grouped Variables
• Adaptive Lasso for Cox's proportional hazards model
• Spatial Multistate Transitional Models for Longitudinal Event Data
• New Estimation and Model Selection Procedures for Semiparametric Modeling in Longitudinal Data Analysis
• Frailty Survival Model Analysis of the National Deceased Donor Kidney Transplant Dataset Using Poisson Variance Structures

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