Susan Sereika

Susan Sereika is a Professor in the Department of Health and Community Systems at the University of Pittsburgh School of Nursing, with secondary appointments in the Department of Biostatistics and Health Data Science and the Department of Epidemiology in the School of Public Health. She serves as Associate Dean for Computing and Information Technology in the School of Nursing, overseeing computing capabilities and acting as liaison with Health Sciences Information Technology.

Her educational background and specific degrees are not explicitly stated in the provided text, but her extensive experience is evident through her 35+ years working in statistical analysis of health data.

Dr. Sereika's research focuses on advanced statistical methodologies for health sciences, particularly longitudinal data analysis for intensive monitoring data from electronic event and lifestyle monitoring systems (Aardex MEMS, Fitbit, actigraphy), latent variable methods including latent class models, group-based trajectory analysis, model assessment, and dyadic analysis. Her collaborative research spans weight loss interventions, self-management of lifestyle behaviors, symptom management, and regimen adherence across various chronic conditions.

Her publication record shows consistent scholarly output since the 1980s, with particular emphasis in the 2010s and 2020s on applications of statistical methods to chronic disease management, particularly in diabetes, cancer, cardiovascular conditions, and transplantation medicine. Her work demonstrates a strong translational focus, bridging sophisticated statistical methodology with practical clinical applications.

As an educator, Dr. Sereika teaches NUR 3290: Advanced Quantitative Methods Seminar at the PhD level and offers tailored independent studies. She serves as statistical mentor for theses and dissertations and provides guidance on statistical aspects of research proposals.

Professionally, she is active in statistical organizations (ASA, ENAR) and disease-focused societies (AHA, ADA, ISPAD), serving as statistical reviewer for journals, ad hoc study section reviewer for NIH applications, and statistical editor for several journals.