College of Health and Human Services

Population Health

NaLing

Ling Na, Ph.D.

Assistant Professor
School of Population Health

Office: HH 1020
Mail Stop 119
Phone: 419.530.4960
Fax: 419.530.4759
ling.na@utoledo.edu
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Dr. Ling Na is an Assistant Professor of Public Health in the School of Population Health. Dr. Na received her Ph.D. from the University of Maryland, College Park, where she studied Communication, especially Health Communication, as a quantitative social scientist. She subsequently completed her postdoctoral training in the Center for Clinical Epidemiology and Biostatistics at the University of Pennsylvania. Prior to joining the faculty at the University of Toledo, Dr. Na was a biostatistician in the pharmaceutical industry working on real world patient data and clinical trial designs in oncology medications. She is an Associate Editor for BMC Health Services Research. Her research has appeared in medical and social science journals such as Social Science & Medicine, BMC Health Services Research, Physical Medicine and Rehabilitation (PM&R), Disability & Health Journal, American Journal of Physical Medicine and Rehabilitation, Journal of Health Communication: International Perspectives, Western Journal of Communication, and Health Communication. 

Dr. Na's research focuses on the health of vulnerable populations. She has published studies on medical and psychosocial needs of cancer patients, health outcomes and resource utilization among older adults with disability in the US, environmental barriers and coping strategies of Chinese persons living with hepatitis B, social support for African American HIV/AIDS survivors, and psychosocial well-being of different demographic groups in Canada.

Dr. Na's research work employs quantitative methods from biostatistics and psychometrics, particularly structural equation modeling, factor analysis, multilevel modeling for longitudinal or nested data, survival analysis, and propensity score methods. She also published studies using mixed methods (content analysis and quantitative analysis).  

Google Scholar Link:
https://scholar.google.com/citations?user=-MRsqTwAAAAJ&hl=en&oi=sra

Last Updated: 6/21/22