The analysis of ordinal time-series data via a transition (Markov) model

DOI10.1080/02664763.2010.529885OpenAlexW1975020027MaRDI QIDQ5124873

Kathryn Bartimote-Aufflick, Peter C. Thomson

Publication date: 30 September 2020

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2010.529885

zbMATH Keywords

ordinallongitudinalrepeated measurescategoricalE-M algorithmtransition model

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• R

Cites Work

• Longitudinal data analysis using generalized linear models
• Regression models for discrete longitudinal responses. With comments and a rejoinder by the authors
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• Ordinal Data Modeling
• Marginal Modeling of Correlated Ordinal Data Using a Multivariate Plackett Distribution
• The analysis of longitudinal ordinal data with nonrandom drop-out
• Use of a Markov transition model to analyse longitudinal low-back pain data
• Linear and Generalized Linear Models and their Applications by J. JIANG
• Recovery of inter-block information when block sizes are unequal
• A Generalized Estimating Equation Method for Fitting Autocorrelated Ordinal Score Data with an Application in Horticultural Research
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