Seo Baik, PhD

Computational Health Research Branch

Contact Information
Building 38A - Lister Hill Center, 9N911

Expertise and Research Interests:

In June 2015 Seo Baik, Ph.D., joined the Lister Hill National Center for Biomedical Communications at the National Library of Medicine. Dr. Baik received his doctorate degree in Statistics from University of Pittsburgh. He is a lead investigator in the project characterizing the effects of biologics and drugs in the Medicare population. He has rich experience with the survival data analysis and the evaluation of large databases – especially Medicare’s huge trove of clinical and administrative data. His research interests include applications of deep learning and/or extended Cox regression analysis in the area of comparative efficacy and safety of prescription drugs and cost-effectiveness of healthcare. He works in the Computational Health Research Branch with Dr. Clem McDonald and others.

Honors and Awards:

Received an individual NLM Special Act or Service Award in 2017 for completing the analysis and interpretation of several biomedical statistical projects.


Baik SH, Fung K-W, McDonald CJ. The mortality risk of Proton Pump Inhibitors in 1.9 Million US Seniors: an extended Cox survival analysis. Clin Gastroenterol Hepatol 2021.

McDonald CJ, Baik SH, Zheng Z, Amos L. A method for prioritizing risk groups for early SARS-CoV-2 vaccination, by the numbers. MedRxiv 2020:2020.12.18.20248504.

Baik S, Lau J, Huser V, McDonald CJ. Association between tendon ruptures and use of fluoroquinolone, and other oral antibiotics: A 10-year retrospective study of 1 million US senior Medicare beneficiaries. BMJ Open 2020;10:34844.

Baik SH, McDonald CJ. Independent effects of 15 commonly prescribed drugs on all-cause mortality among US elderly patients with type 2 diabetes mellitus. BMJ Open Diabetes Res Care 2020;8:e000940.