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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...

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Publicat a:Biom J
Autors principals: Wang, Zhu, Shuangge, Ma, Wang, Ching-Yun
Format: Artigo
Idioma:Inglês
Publicat: 2015
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Accés en línia: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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