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Zero-inflated count models for longitudinal measurements with heterogeneous random effects
Longitudinal zero-inflated count data arise frequently in substance use research when assessing the effects of behavioral and pharmacological interventions. Zero-inflated count models (e.g., zero-inflated Poisson or zero-inflated negative binomial) with random effects have been developed to analyze...
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| Vydáno v: | Stat Methods Med Res |
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| Hlavní autoři: | , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
2015
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5045322/ https://ncbi.nlm.nih.gov/pubmed/26113383 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280215588224 |
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