Latent Markov model for longitudinal binary data: an application to the performance evaluation of nursing homes

DOI10.1214/08-AOAS230zbMath1166.62330arXiv0908.2300OpenAlexW2013844678MaRDI QIDQ2270663

Giorgio E. Montanari, Francesco Bartolucci, Monia Lupparelli

Publication date: 29 July 2009

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

Full work available at URL: https://arxiv.org/abs/0908.2300

zbMATH Keywords

item response theoryEM algorithmlatent variable modelshidden Markov chains

Mathematics Subject Classification ID

Related Items (14)

A discrete time event‐history approach to informative drop‐out in mixed latent Markov models with covariates ⋮ Hidden Markov latent variable models with multivariate longitudinal data ⋮ Hidden Markov models with arbitrary state dwell-time distributions ⋮ Seven things to remember about hidden Markov models: A tutorial on Markovian models for time series ⋮ Bayesian analysis for mixture of latent variable hidden Markov models with multivariate longitudinal data ⋮ Evaluation of long-term health care services through a latent Markov model with covariates ⋮ Latent Markov model for longitudinal binary data: an application to the performance evaluation of nursing homes ⋮ Latent ignorability and item selection for nursing home case-mix evaluation ⋮ Latent Markov models: a review of a general framework for the analysis of longitudinal data with covariates ⋮ A two-state mixed hidden Markov model for risky teenage driving behavior ⋮ Longitudinal mixed-effects models for latent cognitive function ⋮ Exploring the randomness of mentally generated head–tail sequences ⋮ Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models ⋮ Handling non-ignorable dropouts in longitudinal data: a conditional model based on a latent Markov heterogeneity structure

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