Ji Li

Ji Li serves as a Biostatistician in the Department of Biostatistics at the University of Arkansas for Medical Sciences (UAMS), actively contributing to public health research through methodological expertise in statistical analysis. Her professional affiliations include the American Statistical Association, Central Arkansas Statistical Association, American Psychological Association, and American Educational Research Association, reflecting her interdisciplinary engagement.

Her educational background features:

• 2018: Master of Science in Statistics and Analytics from the University of Arkansas, Fayetteville

Ms. Li specializes in advanced statistical methodologies including missing data analysis, structural equation modeling, and categorical data analysis. These techniques are rigorously applied to address public health challenges in vaccine accessibility, health disparities, and behavioral interventions, demonstrating her commitment to translating statistical theory into actionable health insights for vulnerable populations.

Her 2022-2023 publications reveal a concentrated focus on vaccination dynamics in the United States, examining critical intersections between health care access, racial discrimination, and vaccine hesitancy. These works showcase consistent application of biostatistical frameworks to evaluate real-world barriers in preventive medicine and pandemic response, with emphasis on marginalized communities.

She currently leads biostatistical components for three major NIH-funded initiatives: the Comprehensive School Nutrition Enrichment Intervention (CSNEI) in rural districts (PI: Long C), the Arkansas INBRE Supplement project analyzing hesitant adopters of health innovations (PIs: McElfish P, Willis D), and the COVID-19 PREVENT community engagement project (PI: McElfish P). These collaborations highlight her role in designing robust analytical frameworks for complex public health interventions across diverse demographic settings.