Likelihood analysis of the multivariate ordinal probit regression model for repeated ordinal responses

DOI10.1016/j.csda.2007.10.025zbMath1452.62089OpenAlexW2044659692MaRDI QIDQ1023685

Yonghai Li, Daniel W. Schafer

Publication date: 12 June 2009

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

Full work available at URL: https://doi.org/10.1016/j.csda.2007.10.025

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Estimation in multivariate analysis (62H12)

Related Items (6)

Sequential Monte Carlo EM for multivariate probit models ⋮ GEE for longitudinal ordinal data: comparing R-geepack, R-multgee, R-repolr, SAS-GENMOD, SPSS-GENLIN ⋮ A new mixed‐effects regression model for the analysis of zero‐modified hierarchical count data ⋮ A clipped latent variable model for spatially correlated ordered categorical data ⋮ Discretized and Aggregated: Modeling Dive Depth of Harbor Seals from Ordered Categorical Data with Temporal Autocorrelation ⋮ An approximate marginal logistic distribution for the analysis of longitudinal ordinal data

Uses Software

• BayesDA
• BRENT
• QSIMVN

Cites Work

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• Longitudinal data analysis using generalized linear models
• Random effects in ordinal regression models
• A pairwise likelihood approach to estimation in multilevel probit models
• A second-order investigation of asymptotic ancillarity
• On second-order optimality of the observed Fisher information
• Simulation of multivariate normal rectangle probabilities and their derivatives. Theoretical and computational results
• The analysis of ordered categorical data: An overview and a survey of recent developments. (With discussion)
• Analyzing Bivariate Ordinal Data Using a Global Odds Ratio
• Likelihood inference in a correlated probit regression model
• A modular system of algorithms for unconstrained minimization
• Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information
• Analysis of multivariate probit models
• Generalized Estimating Equations for Ordinal Data: A Note on Working Correlation Structures
• Marginal Regression Models for Clustered Ordinal Measurements
• Association-Marginal Modeling of Multivariate Categorical Responses: A Maximum Likelihood Approach
• The Grouped Continuous Model for Multivariate Ordered Categorical Variables and Covariate Adjustment
• A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical Integration
• Modeling Clustered Ordered Categorical Data: A Survey
• An Application of Maximum Likelihood and Generalized Estimating Equations to the Analysis of Ordinal Data from a Longitudinal Study with Cases Missing at Random
• Latent Variable Models for Clustered Ordinal Data

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