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A comparison of zero-inflated and hurdle models for modeling zero-inflated count data
Counts data with excessive zeros are frequently encountered in practice. For example, the number of health services visits often includes many zeros representing the patients with no utilization during a follow-up time. A common feature of this type of data is that the count measure tends to have ex...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Berlin Heidelberg
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8570364/ https://www.ncbi.nlm.nih.gov/pubmed/34760432 http://dx.doi.org/10.1186/s40488-021-00121-4 |