Nnamdi Ezike Source Confirmed

Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.

Researcher

University of Arkansas at Fayetteville

faculty

3 h-index 12 pubs 28 cited

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Biography and Research Information

OverviewAI-generated summary

Nnamdi Ezike's research investigates the application of statistical and computational methods to analyze complex datasets, with a recent focus on public health and behavioral trends. He has explored public sentiment regarding tobacco control laws using Twitter data and employed mixed-methods approaches to understand e-cigarette marketing. Ezike's work also extends to early intervention programs for children with autism spectrum disorder. His methodological interests include Bayesian model selection and path analysis with nonnormal data, as demonstrated in his publications on statistical modeling and simulation. Collaborations include researchers from the University of Arkansas at Fayetteville such as Page D. Dobbs, Aaron Myers, and Huy Mai, as well as Elizabeth Cleveland from the University of Arkansas at Little Rock.

Metrics

  • h-index: 3
  • Publications: 12
  • Citations: 28

Selected Publications

  • Pledging Engagement: Motivations and Intentions for College Sport Attendance among Greek-Letter Organizations (2023) DOI
  • Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (Preprint) (2023) DOI
  • Twitter Sentiment About the US Federal Tobacco 21 Law: Mixed Methods Analysis (2023) DOI
  • Model-data fit evaluation: posterior checks and Bayesian model selection (2022) DOI
  • Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series (2022) DOI
  • Exploring Factors That Predict Marketing of e-Cigarette Products on Twitter: Infodemiology Approach Using Time Series (Preprint) (2022) DOI
  • Analysis of a Statewide Early Intervention Program for Young Children with ASD (2021) DOI

Collaborators

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