A joint model for multiple dynamic processes and clinical endpoints: application to Alzheimer's disease
From MaRDI portal
Publication:6628727
DOI10.1002/SIM.8328zbMATH Open1546.62607WikidataQ92447489 ScholiaQ92447489MaRDI QIDQ6628727
Jean-François Dartigues, Cécile Proust-Lima, Viviane Philipps
Publication date: 29 October 2024
Published in: Statistics in Medicine (Search for Journal in Brave)
Cites Work
- Random-Effects Models for Longitudinal Data
- An approach for jointly modeling multivariate longitudinal measurements and discrete time-to-event data
- Flexible univariate and multivariate models based on hidden truncation
- A latent process model for dementia and psychometric tests
- Fully exponential Laplace approximations for the joint modelling of survival and longitudinal data
- Joint modeling of multivariate longitudinal mixed measurements and time to event data using a Bayesian approach
- Prediction of transplant-free survival in idiopathic pulmonary fibrosis patients using joint models for event times and mixed multivariate longitudinal data
- Analysis of multivariate mixed longitudinal data: A flexible latent process approach
- A Nonlinear Model with Latent Process for Cognitive Evolution Using Multivariate Longitudinal Data
- Joint Modelling of Repeated Measurements and Time-to-Event Outcomes: Flexible Model Specification and Exact Likelihood Inference
- Joint Models for Multivariate Longitudinal and Multivariate Survival Data
- Bivariate Modelling of Longitudinal Measurements of Two Human Immunodeficiency Type 1 Disease Progression Markers in the Presence of Informative Drop-Outs
- A universal approximate cross-validation criterion for regular risk functions
Related Items (1)
Progression models for repeated measures: estimating novel treatment effects in progressive diseases
This page was built for publication: A joint model for multiple dynamic processes and clinical endpoints: application to Alzheimer's disease
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6628727)
