A hierarchical latent class model for predicting disability small area counts from survey data

@article{Fabrizi2012AHL,
  title={A hierarchical latent class model for predicting disability small area counts from survey data},
  author={Enrico Fabrizi and Giorgio Eduardo Montanari and M. Giovanna Ranalli},
  journal={Journal of the Royal Statistical Society: Series A (Statistics in Society)},
  year={2012},
  volume={179}
}
We consider the estimation of the number of severely disabled people by using data from the Italian survey on ‘Health conditions and appeal to Medicare’. In this survey, disability is indirectly measured by using a set of categorical items, which consider a set of functions concerning the ability of a person to accomplish everyday tasks. Latent class models can be employed to classify the population according to different levels of a latent variable connected with disability. The survey is… 
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