Dr. Andrew Yockey
Assistant Professor, Biostatistics & Epidemiology
Education & Experience
I received a PhD in Health Education from the University of Cincinnati, a Master of Science in Health Education from the University of Cincinnati, and a BS degree in Psychology from the University of Cincinnati. The cognate in my doctoral program was Advanced Statistical Methods, Biostatistics, and Research Design. Prior to joining the UNTHSC School of Public Health faculty in 2021, I was a Graduate Research Assistant for the Center for Prevention of Science and a Student III in the Department of Biostatistics and Epidemiology at Cincinnati Children’s Hospital.
Teaching Areas & Public Health Interests:
I have been involved in statistical analysis and design in the fields of public health, psychology and psychiatry for 10 years. My teaching efforts over the years have been focused on the mathematical underpinnings of inferential and Bayesian analyses, improving survey instrumentation and gauging students’ curiosity in advanced statistics such as multi-level modeling and psychometrics. I have taught a variety of courses such as Applied Statistics I and II, Biostatistics, and guest lectured courses in Structural Equation Modeling and Survey Research.
Professional Activities & Awards:
I am an active member of the American Psychological Association, Society for Causal Inference, the American School Health Association and the American Public Health Association. I am also a journal reviewer for several journals such as Drug & Alcohol Dependence, Hispanic Health Care International and Journal of American College Health. In 2020, I received the Graduate Student of the Year Award from the School of Human Services at the University of Cincinnati. During my training, I also received the prestigious ICPSR Developmental, Child, & Family Psychology Scholarship in the Quantitative Methods field for the University of Michigan. My research has also been featured in news media such as the New York Post, NPR and Newsmax.
My methodological expertise is in psychiatric epidemiology, survey research, psychometrics, quantitative and mixed methods, structural equation modeling, experimental design, meta-analysis, and analysis of missing of data.
My research has focused mainly on the application of advanced modeling techniques, survey improvement and examining factors to risk behaviors in complex survey designs in the fields of substance use prevention, psychiatric epidemiology and minority health. The utilization and improvement of longitudinal modeling, time series approaches, structural equation modeling and multi-level modeling have been at the forefront of my research career.
I also have more than seven years of national survey data creation and analyzation. My work has utilized national datasets such as the National Survey on Drug Use and Health, the National Youth Tobacco Survey and the National Survey on Children’s Health. My research on these data sets has not only been examining the risk factors associated with a variety of health behaviors, but also on how to improve quality of the survey and to utilize advanced approaches to correct data errors, such as missing data patterns, attrition, and biased estimates.