Comparing the diagnostic performance of ordinary, mixed, and lasso logistic regression models at identifying opioid and cannabinoid poisoning in U.S. dogs using pet demographic and clinical data reported to an animal poison control center (2005–2014)

• Mohammad Howard-Azzeh ,

  Roles Conceptualization, Formal analysis, Investigation, Methodology, Project administration, Validation, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: mhowarda@uoguelph.ca

  Affiliation Department of Population Medicine, University of Guelph, Guelph, Ontario, Canada

  https://orcid.org/0000-0003-2496-3058

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• David L. Pearl,

  Roles Conceptualization, Data curation, Funding acquisition, Investigation, Methodology, Project administration, Resources, Software, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Population Medicine, University of Guelph, Guelph, Ontario, Canada

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• Terri L. O’Sullivan,

  Roles Conceptualization, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing – review & editing

  Affiliation Department of Population Medicine, University of Guelph, Guelph, Ontario, Canada

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• Olaf Berke

  Roles Conceptualization, Investigation, Methodology, Project administration, Supervision, Validation, Visualization, Writing – original draft, Writing – review & editing

  Affiliation Department of Population Medicine, University of Guelph, Guelph, Ontario, Canada

  https://orcid.org/0000-0003-3537-0629

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