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A Two-Latent-Class Model for Smoking Cessation Data with Informative Dropouts
Non ignorable missing data is a common problem in longitudinal studies. Latent class models are attractive for simplifying the modeling of missing data when the data are subject to either a monotone or intermittent missing data pattern. In our study, we propose a new two-latent-class model for categ...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2879593/ https://ncbi.nlm.nih.gov/pubmed/20523912 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1080/03610920802585849 |
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