Modeling the Natural Course of Atopic Multimorbidity: Correlates of Early-Life States and Exposures
Publication: American Journal of Respiratory and Critical Care Medicine
Dr. Arthur H. Owora is a translational scientist, applied biostatistician and quantitative epidemiologist. His research focuses on the development, adaptation, and application of statistical and machine learning methods to address health-related questions through the use of systematic and data-driven approaches for understanding the disease etiology, risk, and prognosis. He currently leads NIH funded projects that are developing and evaluating models for the prediction of childhood asthma risk, prognosis, and treatment response. His ongoing collaborations include research on vaccine adherence, aphasia treatment, sexual health, aging, dementia, diabetes, and obesity.
The Translational Informatics, Biostatistics and Epidemiology (TIBE) laboratory led by Dr. Owora applies novel biostatistical and machine learning methodologies to different (structured and unstructured) and multiple data sources (active and passive) to generate analytics and insights to inform effective clinical decision-making at point-of-care.
Dr. Owora received his Ph.D. degree in Biostatistics and Epidemiology from Oklahoma University in 2015. He has over 15 years of experience in research design, methodology, and statistical analysis in bio-medical, socio-behavioral, and health services research.
Throughout his robust teaching career, Dr. Owora has been recognized with several honors and awards. He was appointed to the honorary position of Gallahue Family Professor in Child Development in 2021.
Publication: American Journal of Respiratory and Critical Care Medicine
Publication: ERJ Open Research
Publication: Iron Deficiency and Iron Deficiency Nutrients
Publication: Journal of Clinical Medicine
Publication: Clinical Obesity
Publication: Substance Use & Misuse
Publication: Sleep Health
Publication: Nature Aging
Publication: Current Diabetes Reports