We illustrate how latent Markov models may be used for the analysis of a longitudinal dataset coming from the administration of a set of dichotomously-scored items to a sample of elderly people admitted in different nursing homes. These models are aimed at describing individual changes in terms of quality of life, in particular considering: (i) how it changes over the time and (ii) how it depends on belonging to different nursing homes. For the maximum likelihood estimation we apply an EM algorithm which is implemented by means of certain recursions taken from the literature on hidden Markov models.
Latent Markov models for evaluating nursing home performances / F. BARTOLUCCI; G.E. MONTANARI; M. LUPPARELLI. - STAMPA. - (2007), pp. 44-49. (Intervento presentato al convegno S.Co tenutosi a Padova nel Settembre 2007).
Latent Markov models for evaluating nursing home performances
M. LUPPARELLI
2007
Abstract
We illustrate how latent Markov models may be used for the analysis of a longitudinal dataset coming from the administration of a set of dichotomously-scored items to a sample of elderly people admitted in different nursing homes. These models are aimed at describing individual changes in terms of quality of life, in particular considering: (i) how it changes over the time and (ii) how it depends on belonging to different nursing homes. For the maximum likelihood estimation we apply an EM algorithm which is implemented by means of certain recursions taken from the literature on hidden Markov models.
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