Hong Xian

Hong Xian is a Professor in the Department of Biostatistics at the College for Public Health and Social Justice, Saint Louis University. Her work bridges statistical methodology and public health applications, with a strong focus on longitudinal and genetic data analysis.

Research Interests: Her primary research areas include clinical and psychiatric epidemiology, biometrical genetic modeling using twin and family data, and advanced methods for longitudinal and latent variable analysis. She applies these methods to study mental health, obesity, cognitive aging, and veteran health outcomes.

The recent publications highlight her expertise in analyzing complex datasets from longitudinal cohorts, particularly the Vietnam Era Twin Study and veteran populations. Her work spans psychiatric comorbidities, maternal and adolescent mental health, and trauma in refugee populations, demonstrating a strong commitment to addressing health disparities.

Scientific Awards:

• Grantwinner Award for Excellence in Research (2014), Saint Louis University
• Research Award for Achievement in Research and Scholarship (2014), Saint Louis University
• College for Public Health & Social Justice Research Award for Achievement in Research and Scholarship (2015)
• College for Public Health & Social Justice Research Award for Achievement in Research and Scholarship (2018)

Advising and Grants: While specific advisees are not listed, Dr. Xian plays a key role in mentoring students in biostatistics and public health research. She has been instrumental in securing and supporting research grants, particularly through her long-standing collaboration with the VA St. Louis Health Care System, where she contributes to study design, data management, and statistical analysis for patient-oriented research.

Labs and Teams: Dr. Xian is closely affiliated with research teams at the VA St. Louis Health Care System, where she has worked for over two decades. Her collaborative work involves multidisciplinary teams focusing on veteran health, genetic epidemiology, and mental health disparities.