Statistical inference of multi-state transition model for longitudinal data with measurement error and heterogeneity
From MaRDI portal
Publication:6597457
DOI10.1080/03610926.2023.2264997MaRDI QIDQ6597457
Publication date: 3 September 2024
Published in: Communications in Statistics. Theory and Methods (Search for Journal in Brave)
Cites Work
- Unnamed Item
- Modeling the random effects covariance matrix for generalized linear mixed models
- SIMEX estimation in parametric modal regression with measurement error
- Pseudo maximum likelihood estimation: The asymptotic distribution
- Pseudo maximum likelihood estimation: Theory and applications
- Markov transition model to dementia with death as a competing event
- Bayesian Cholesky factor models in random effects covariance matrix for generalized linear mixed models
- Bayesian analysis for mixture of latent variable hidden Markov models with multivariate longitudinal data
- De-noising analysis of noisy data under mixed graphical models
- Estimating heterogeneity variances to select a random effects model
- Approximate bounded influence estimation for longitudinal data with outliers and measurement errors
- Misspecified maximum likelihood estimates and generalised linear mixed models
- Multi‐stage transitional models with random effects and their application to the Einstein aging study
- Pseudo-likelihood inference for regression models with misclassified and mismeasured variables
- Estimation in Semiparametric Transition Measurement Error Models for Longitudinal Data
- On modelling mean-covariance structures in longitudinal studies
- A Joint Model for Nonlinear Mixed-Effects Models With Censoring and Covariates Measured With Error, With Application to AIDS Studies
- Joint mean-covariance models with applications to longitudinal data: unconstrained parameterisation
- A generalized transition model for grouped longitudinal categorical data
- Bootstrapped inference for variance parameters, measures of heterogeneity and random effects in multilevel logistic regression models
- Parameter estimation approaches to tackling measurement error and multicollinearity in ordinal probit models
- Simplex regression models with measurement error
- Instrumental variable estimation in ordinal probit models with mismeasured predictors
- Errors-in-variables beta regression models
- Inference for multi-state models from interval-censored data
- Measurement Error in Nonlinear Models
- Approximate maximum likelihood estimation for logistic regression with covariate measurement error
- A new robust parameter estimation approach for multinomial categorical response data with outliers and mismeasured covariates
- Exploratory assessment of treatment-dependent random-effects distribution using gradient functions
- Genetic association studies with bivariate mixed responses subject to measurement error and misclassification
This page was built for publication: Statistical inference of multi-state transition model for longitudinal data with measurement error and heterogeneity