Senior Research Scientist
Dr. Karaboyas provides epidemiologic and biostatistical support, primarily for the international Dialysis Outcomes and Practice Patterns Study (DOPPS). He received his BS in Mathematics from the University of Michigan – Dearborn in 2008, his MS in Biostatistics from the University of Michigan – Ann Arbor in 2010, and his PhD in Epidemiology from the University of Michigan – Ann Arbor in 2019 with a dissertation focused on identifying best practices in hemodialysis using innovative study designs and statistical methods. Since joining Arbor Research in 2010, Dr. Karaboyas has led several aspects of observational research, including the initiation and development of successful proposals, operational coordination and communication as principal investigator, mentorship for analysts, preparation of manuscripts, and public presentation of findings. He specializes in using causal inference principles to craft clear research questions and statistical methods that are often creative, but appropriate and efficient, to address confounding and reduce bias in analyses of real-world data. Dr. Karaboyas has represented Arbor Research at many international conferences, and has coauthored over 60 peer-reviewed publications, including over 10 as first or senior author.