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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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Détails bibliographiques
Publié dans:Stat Biosci
Auteurs principaux: Tabb, Loni Philip, Tchetgen, Eric J. Tchetgen, Wellenius, Greg A., Coull, Brent A.
Format: Artigo
Langue:Inglês
Publié: 2015
Sujets:
Accès en ligne: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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