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A Marginalized Zero-inflated Poisson Regression Model with Random Effects
Public health research often concerns relationships between exposures and correlated count outcomes. When counts exhibit more zeros than expected under Poisson sampling, the zero-inflated Poisson (ZIP) model with random effects may be used. However, the latent class formulation of the ZIP model can...
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| Publicado no: | J R Stat Soc Ser C Appl Stat |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4664481/ https://ncbi.nlm.nih.gov/pubmed/26635421 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/rssc.12104 |
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