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Variable selection for zero-inflated and overdispersed data with application to health care demand in Germany
In health services and outcome research, count outcomes are frequently encountered and often have a large proportion of zeros. The zero-inflated negative binomial (ZINB) regression model has important applications for this type of data. With many possible candidate risk factors, this paper proposes...
Gardado en:
| Publicado en: | Biom J |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
2015
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5525141/ https://ncbi.nlm.nih.gov/pubmed/26059498 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/bimj.201400143 |
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