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Marginalized zero-altered models for longitudinal count data
Count data often exhibit more zeros than predicted by common count distributions like the Poisson or negative binomial. In recent years, there has been considerable interest in methods for analyzing zero-inflated count data in longitudinal or other correlated data settings. A common approach has bee...
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| Veröffentlicht in: | Stat Biosci |
|---|---|
| Hauptverfasser: | , , , |
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
2015
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| Schlagworte: | |
| Online Zugang: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5111636/ https://ncbi.nlm.nih.gov/pubmed/27867423 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s12561-015-9136-6 |
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