A Nonlinear Model with Latent Process for Cognitive Evolution Using Multivariate Longitudinal Data
From MaRDI portal
Publication:5295355
DOI10.1111/j.1541-0420.2006.00573.xzbMath1116.62134OpenAlexW1965527615WikidataQ31083694 ScholiaQ31083694MaRDI QIDQ5295355
Hélène Jacqmin-Gadda, Julien Ganiayre, Cécile Proust-Lima, Daniel Commenges, Jeremy M. G. Taylor
Publication date: 27 July 2007
Published in: Biometrics (Search for Journal in Brave)
Full work available at URL: http://europepmc.org/articles/pmc1930148
Related Items (12)
Conditional functional clustering for longitudinal data with heterogeneous nonlinear patterns ⋮ Scalable and robust latent trajectory class analysis using artificial likelihood ⋮ A multivariate finite mixture latent trajectory model with application to dementia studies ⋮ A latent process model for dementia and psychometric tests ⋮ Joint modelling of multivariate longitudinal outcomes and a time-to-event: a nonlinear latent class approach ⋮ Dealing with death when studying disease or physiological marker: the stochastic system approach to causality ⋮ Residual‐Based Diagnostics for Structural Equation Models ⋮ Discussion of: ``Predictive comparison of joint longitudinal-survival modeling: a case study illustrating competing approaches ⋮ Isotone additive latent variable models ⋮ Modelling Sparse Generalized Longitudinal Observations with Latent Gaussian Processes ⋮ Analysis of multivariate non-Gaussian functional data: a semiparametric latent process approach ⋮ Efficient Estimation of the Nonparametric Mean and Covariance Functions for Longitudinal and Sparse Functional Data
Cites Work
- Unnamed Item
- Unnamed Item
- A latent process model for joint modeling of events and marker
- Nonlinear factor analysis as a statistical method.
- Factor analysis for clustered observations
- A Bayesian approach to nonlinear latent variable models using the Gibbs sampler and the Metropolis-Hastings algorithm
- Generalized multilevel structural equation modeling
- An Algorithm for Least-Squares Estimation of Nonlinear Parameters
- Latent Variable Models with Fixed Effects
- Analysis of Multivariate Longitudinal Outcomes With Nonignorable Dropouts and Missing Covariates
- Dynamic Latent Trait Models for Multidimensional Longitudinal Data
- Estimation for Polynomial Structural Equation Models
- Estimating a Treatment Effect from Multidimensional Longitudinal Data
- Latent Variable Models for Longitudinal Data with Multiple Continuous Outcomes
- Beyond SEM: General Latent Variable Modeling
- Structural Equation Models
This page was built for publication: A Nonlinear Model with Latent Process for Cognitive Evolution Using Multivariate Longitudinal Data