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GEE type inference for clustered zero-inflated negative binomial regression with application to dental caries
Use of zero-inflated count data models is common in applications where the number of zero counts exceeds that predicted from a traditional count data model such as Poisson or negative binomial. When count data exhibiting inflated zero counts are correlated among subjects, a natural approach will be...
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| Publicado no: | Comput Stat Data Anal |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4303594/ https://ncbi.nlm.nih.gov/pubmed/25620827 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.csda.2014.11.014 |
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