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Descrição Detalhada da Publicação
Model-based clustering of sequential data with an application to contraceptive use dynamics
Título Revista
Mathematical Population Studies
Ano (publicação definitiva)
2005
Língua
Inglês
País
Reino Unido
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Abstract/Resumo
Multi-state models describe the transitions people experience as life unfolds. The transition probabilities depend on sex, age, and attributes of the person and the context. Empirical evidence suggests that attributes that cannot be measured directly may at most be inferred from a long list of observable characteristics. A cluster-based, discrete-time multi-state model is presented, where transition probabilities are estimated simultaneously for several subpopulations of a heterogeneous population. The subpopulations are not defined a priori but are determined on the basis of similarities in behavior in order to determine which women exhibit similar characteristics with respect to method choice, method switch, discontinuation and subsequent resumption of contraceptive use. The data are from the life history calendar based on the Brazilian Demographic and Health Survey 1996. The parameters of the model are estimated using the EM algorithm. Seven subpopulations with heterogeneous transition probabilities are identified.
Agradecimentos/Acknowledgements
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Palavras-chave
Contraceptive use dynamics,Finite mixture models,Life history calendar,Markov models,Unobserved heterogeneity
Classificação Fields of Science and Technology
- Matemáticas - Ciências Naturais
- Sociologia - Ciências Sociais
Registos de financiamentos
Referência de financiamento | Entidade Financiadora |
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SFRH/BD/890/2000 | Fundação para a Ciência e a Tecnologia |