Fast estimation algorithm for likelihood-based analysis of repeated categorical responses

DOI10.1016/j.csda.2006.04.024zbMath1157.62343OpenAlexW2023518290MaRDI QIDQ1010500

Jukka Jokinen

Publication date: 6 April 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.2006.04.024

zbMATH Keywords

marginal modelselection modelassociation modeldependence ratiomean parameterizationrepeated categorical data

Mathematics Subject Classification ID

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

Related Items (9)

Marginal Nested Interactions for Contingency Tables ⋮ Discrete chain graph models ⋮ Binary Dynamic Logit for Correlated Ordinal: estimation, application and simulation ⋮ Binary Models for Marginal Independence ⋮ Semi-parametric dynamic models for longitudinal ordinal categorical data ⋮ Dynamic Models for Longitudinal Ordinal Non-stationary Categorical Data ⋮ Repeated measures proportional odds logistic regression analysis of ordinal score data in the statistical software package R ⋮ Working correlation structure selection in GEE analysis ⋮ Log‐mean Linear Parameterization for Discrete Graphical Models of Marginal Independence and the Analysis of Dichotomizations

Uses Software

• R

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Unnamed Item
• Multivariate distributions with correlation matrices for nonlinear repeated measurements
• Maximum likelihood methods for linear and log-linear models in categorical data
• Models for the association between ordinal variables.
• Algebraic descriptions of nominal multivariate discrete data
• Multinomial-Poisson homogeneous models for contingency tables.
• Models for Longitudinal Data: A Generalized Estimating Equation Approach
• Joint Regression and Association Modeling of Longitudinal Ordinal Data
• Marginal regression analysis of a multivariate binary response
• A class of regression models for multivariate categorical responses
• Simultaneously Modeling Joint and Marginal Distributions of Multivariate Categorical Responses
• Marginal Modeling of Correlated Ordinal Data Using a Multivariate Plackett Distribution
• Association Models for a Multivariate Binary Response
• A likelihood-based method for analysing longitudinal binary responses
• Modeling Clustered Ordered Categorical Data: A Survey
• Informative Drop-Out in Longitudinal Data Analysis

This page was built for publication: Fast estimation algorithm for likelihood-based analysis of repeated categorical responses