Joint modelling of multivariate longitudinal outcomes and a time-to-event: a nonlinear latent class approach

DOI10.1016/j.csda.2008.10.017zbMath1452.62841OpenAlexW2094991028MaRDI QIDQ961251

Jean-François Dartigues, Hélène Jacqmin-Gadda, Pierre Joly, Cécile Proust-Lima

Publication date: 30 March 2010

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://www.hal.inserm.fr/inserm-00328649/file/2008_CSDA_PROUST-LIMA.pdf

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (11)

A Latent Variable Approach to Study Gene-Environment Interactions in the Presence of Multiple Correlated Exposures ⋮ Dynamic optimal strategy for monitoring disease recurrence ⋮ A flexible joint model for multiple longitudinal biomarkers and a time‐to‐event outcome: With applications to dynamic prediction using highly correlated biomarkers ⋮ Joint modeling of longitudinal and time-to-event data on multivariate protein biomarkers ⋮ Fast fitting of joint models for longitudinal and event time data using a pseudo-adaptive Gaussian quadrature rule ⋮ Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach ⋮ A Bayesian Two-Part Latent Class Model for Longitudinal Medical Expenditure Data: Assessing the Impact of Mental Health and Substance Abuse Parity ⋮ Score Test for Conditional Independence Between Longitudinal Outcome and Time to Event Given the Classes in the Joint Latent Class Model ⋮ A fast EM algorithm for fitting joint models of a binary response and multiple longitudinal covariates subject to detection limits ⋮ Assessing the association between trends in a biomarker and risk of event with an application in pediatric HIV/AIDS ⋮ Multivariate longitudinal data analysis with mixed effects hidden Markov models

Uses Software

• PHMPL

Cites Work

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