Maximum Likelihood Estimation for Probit-Linear Mixed Models with Correlated Random Effects

DOI10.2307/2533099zbMath1065.62503OpenAlexW2333890916MaRDI QIDQ4350003

Jennifer So-Kuen Chan, Anthony Y. C. Kuk

Publication date: 23 October 1997

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://semanticscholar.org/paper/e2d329b54eb30a5e26013c5fb1eb6860be259f90

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Point estimation (62F10)

Related Items

Limited information estimation in binary factor analysis: a review and extension ⋮ Sequential Monte Carlo EM for multivariate probit models ⋮ Parameter estimation via stochastic variants of the ECM algorithm with applications to plant growth modeling ⋮ Laplace Importance Sampling for Generalized Linear Mixed Models ⋮ Maximum Likelihood Estimation of Tobit Factor Analysis for Multivariatet-Distribution ⋮ Influence of behavioural tactics on recruitment and reproductive trajectory in the kittiwake ⋮ Efficient pairwise composite likelihood estimation for spatial-clustered data ⋮ Estimating a graphical intra-class correlation coefficient (GICC) using multivariate probit-linear mixed models ⋮ Unnamed Item ⋮ ECM algorithm for estimating vector ARMA model with variance gamma distribution and possible unbounded density ⋮ EM-Type algorithms for heavy-tailed logistic mixed models ⋮ The Monte Carlo EM method for estimating multinomial probit latent variable models ⋮ Efficient direct sampling MCEM algorithm for latent variable models with binary responses ⋮ Convergence of the Monte Carlo expectation maximization for curved exponential families. ⋮ Generalized Linear Latent Variable Modeling for Multi-Group Studies ⋮ Generalized Linear Latent Variable Models for Repeated Measures of Spatially Correlated Multivariate Data ⋮ Maximum likelihood estimation of multinomial probit factor analysis models for multivariate \(t\)-distribution ⋮ Factor analysis for paired ranked data with application on parent-child value orientation preference data ⋮ Monte Carlo approximation through Gibbs output in generalized linear mixed models ⋮ A resource selection model for analyzing pseudoreplicated data due to grouping behavior of animals ⋮ Test of Marginal Compatibility and Smoothing Methods for Exchangeable Binary Data with Unequal Cluster Sizes ⋮ An automated (Markov chain) Monte Carlo EM algorithm ⋮ A Mixed Mover–Stayer Model for Spatiotemporal Two‐State Processes ⋮ Copula analysis of mixture models ⋮ Composite likelihood and maximum likelihood methods for joint latent class modeling of disease prevalence and high-dimensional semicontinuous biomarker data ⋮ On Estimation and Prediction for Spatial Generalized Linear Mixed Models ⋮ Marginalized random-effects models for clustered binomial data through innovative link functions ⋮ A pairwise likelihood approach to generalized linear models with crossed random effects ⋮ Two slice-EM algorithms for fitting generalized linear mixed models with binary response ⋮ Applied regression analysis bibliography update 1994-97 ⋮ Maximum likelihood estimation of factor and ideal point models for paired comparison data ⋮ Two-level linear paired comparison models: Estimation and identifiability issues