About
Dr. Khan is an Assistant Professor of Biostatistics in the Department of Public Health Sciences at Clemson University. He earned his Ph.D. in Biostatistics (Big Data Track) from the Division of Biostatistics and Bioinformatics at the University of Cincinnati (UC) College of Medicine. His research interests focus on developing statistical methodologies and applications of statistical modeling in health outcomes and risk factors, aiming to understand better the health outcomes, their significant associated factors, and the disparity between sub-cohorts of the population. Specific areas of interest include biostatistics and public health, substance abuse and health, repeated measures and longitudinal analysis, Bayesian analysis, categorical data analysis, clinical trials, and data science and machine learning. He is actively involved in collaborative research with members from several institutions.
Visit Dr. Khan's Faculty Profile.
How their research is transforming health care
With the advancement of technology, data is being generated every second across all sectors, including healthcare. Proper analysis of health and medical data and uncovering hidden insights can lead to a better understanding of diseases, their risk factors, and disparities among sub-populations while addressing real-world health challenges. These insights serve as a foundation for policymakers, researchers, and healthcare professionals to develop effective interventions and implement evidence-based policies. Through his expertise and collaborative research with health researchers, including clinicians, he strives to generate valuable information on chronic health outcomes and contribute to improved disease management and overall well-being, particularly for vulnerable populations.
Health Research Expertise Keywords
Biostatistics, Health outcomes research, Substance abuse and health, Repeated measures and longitudinal analysis, Bayesian analysis, Clinical trials, and Data science and machine learning
