About this Event
This intermediate short course introduces simulation modeling for public health decision making through real-world examples and applications. Participants will explore cohort models, microsimulation, and agent-based models, along with key concepts in model development, evaluation, uncertainty, and interpretation of results.
Intermediate course:
Participants will gain an understanding of key simulation modeling approaches for public health decision making, their structure and applications, and core concepts in model development, evaluation, uncertainty, and effective dissemination practices. The course will also discuss interpretation and critical evaluation of simulation modeling studies.
Faculty:
Stavroula Chrysanthopoulou, PhD. Stavroula A. Chrysanthopoulou, PhD, is an Assistant Professor of Biostatistics and Director of the Residential Master’s Programs in Biostatistics at Brown University School of Public Health. Her research focuses on the development, evaluation, and application of simulation models for public health decision making, with methodological interests in model calibration, validation, and predictive accuracy. Her work includes applications in cancer, opioid use disorder, and infectious diseases. She has extensive experience teaching graduate-level courses in biostatistics, including longitudinal and survival data analysis, simulation-based inference, and simulation modeling.