A more flexible joint latent model for longitudinal and survival time data
type: Item
instance of: scholarly article
title: A more flexible joint latent model for longitudinal and survival time data
zbMATH Open document ID: 1206.62046
author: Chin-Tsang Chiang
published in: Metrika
publication date: 2011-02-18T00:00:00Z
full work available at URL: 05.pdf
Mathematics Subject Classification ID: 62G05
Mathematics Subject Classification ID: 62N02
Mathematics Subject Classification ID: 65C05
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 5852806
zbMATH Keywords: basis function expansion
zbMATH Keywords: B-spline
zbMATH Keywords: failure time
zbMATH Keywords: latent variable
zbMATH Keywords: longitudinal measurements
zbMATH Keywords: varying-coefficient
MaRDI profile type: Publication
OpenAlex ID: W2000882144
cites work: A Flexible B‐Spline Model for Multiple Longitudinal Biomarkers and Survival
cites work: Model Selection and Multimodel Inference
cites work: Local Linear Estimation for Time‐Dependent Coefficients in Cox's Regression Models
cites work: Rao-Blackwellisation of sampling schemes
cites work: Smoothing Spline Estimation for Varying Coefficient Models With Repeatedly Measured Dependent Variables
cites work: Q3999426
cites work: Joint modelling of longitudinal measurements and event time data
cites work: Counting degrees of freedom in hierarchical and other richly-parameterised models
cites work: Nonparametric smoothing estimates of time-varying coefficient models with longitudinal data
cites work: Varying-coefficient models and basis function approximations for the analysis of repeated measurements
cites work: A flexible additive multiplicative hazard model
cites work: Time-dependent coefficients in a Cox-type regression model
cites work: On the asymptotic properties of a flexible hazard estimator
cites work: On the Cox Model With Time-Varying Regression Coefficients
cites work: A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error
cites work: Modeling the Relationship of Survival to Longitudinal Data Measured with Error. Applications to Survival and CD4 Counts in Patients with AIDS
cites work: Q3378793
cites work: MODEL SELECTION FOR PENALIZED SPLINE SMOOTHING USING AKAIKE INFORMATION CRITERIA
cites work: Iterated Residuals and Time-Varying Covariate Effects in Cox Regression
cites work: Asymptotic Confidence Regions for Kernel Smoothing of a Varying-Coefficient Model with Longitudinal Data
cites work: A Joint Model for Survival and Longitudinal Data Measured with Error
cites work: Nonparametric survival analysis with time-dependent covariate effects: A penalized partial likelihood approach
DOI: 10.1007/S00184-009-0270-3
description: scientific article; zbMATH DE number 5852806