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New variable selection methods for zero-inflated count data with applications to the substance abuse field
Zero-inflated count data are very common in health surveys. This study develops new variable selection methods for the zero-inflated Poisson regression model. Our simulations demonstrate the negative consequences which arise from the ignorance of zero-inflation. Among the competing methods, the one-...
Tallennettuna:
| Päätekijät: | , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2011
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3133860/ https://ncbi.nlm.nih.gov/pubmed/21563207 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.4268 |
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