Latent ignorability and item selection for nursing home case-mix evaluation
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Publication:724611
DOI10.1007/s00357-017-9227-9zbMath1391.62200OpenAlexW2597729223MaRDI QIDQ724611
Giorgio E. Montanari, Francesco Bartolucci, Silvia Pandolfi
Publication date: 26 July 2018
Published in: Journal of Classification (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s00357-017-9227-9
Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of statistics to biology and medical sciences; meta analysis (62P10)
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Cites Work
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- Latent class analysis variable selection
- Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models
- Choosing initial values for the EM algorithm for finite mixtures
- Mixture analysis of multivariate categorical data with covariates and missing entries
- An entropy criterion for assessing the number of clusters in a mixture model
- Estimating the dimension of a model
- Missing at random, likelihood ignorability and model completeness.
- Latent Markov model for longitudinal binary data: an application to the performance evaluation of nursing homes
- Item selection by latent class-based methods: an application to nursing home evaluation
- Partial and latent ignorability in missing-data problems
- Inference and missing data
- An improvement of the NEC criterion for assessing the number of clusters in a mixture model
- Model-Based Clustering, Discriminant Analysis, and Density Estimation
- Exploratory latent structure analysis using both identifiable and unidentifiable models
- Bayes Factors
- Modeling the Drop-Out Mechanism in Repeated-Measures Studies
- A Maximization Technique Occurring in the Statistical Analysis of Probabilistic Functions of Markov Chains
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