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Bayesian Zero- Inflated Poisson model for prognosis of demographic factors associated with using crystal meth in Tehran population
Background: Use of methamphetamine (MA) and other stimulants has increased steadily over the past 10 years. Risk factor evaluation to reduce the problem in the community is one solution to protect people from addiction. This study aimed at using Bayesian zeroinflated Poisson (ZIP) model to investiga...
Autores principales: | Pourhoseingholi, Asma, Baghestani, Ahmad Reza, Ghasemi, Erfan, Akbarzadeh Baghban, Alireza, Ghazarian, Mariet |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Iran University of Medical Sciences
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6108249/ https://www.ncbi.nlm.nih.gov/pubmed/30159275 http://dx.doi.org/10.14196/mjiri.32.24 |
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