Risk of adverse events in gastrointestinal endoscopy: Zero-inflated Poisson regression mixture model for count data and multinomial logit model for the type of event

BACKGROUND AND AIMS: We analyze the possible predictive variables for Adverse Events (AEs) during sedation for gastrointestinal (GI) endoscopy. METHODS: We consider 23,788 GI endoscopies under sedation on adults between 2012 and 2019. A Zero-Inflated Poisson Regression Mixture (ZIPRM) model for coun...

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Publicado en:PLoS One
Autores principales: Gemma, Marco, Pennoni, Fulvia, Tritto, Roberta, Agostoni, Massimo
Formato: Artigo
Lenguaje:Inglês
Publicado: Public Library of Science 2021
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Research Article
Acceso en línea:https://ncbi.nlm.nih.gov/pmc/articles/PMC8245123/
https://ncbi.nlm.nih.gov/pubmed/34191840
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0253515
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