Dr. Shults works to develop statistical methods for longitudinal data that include semi-parametric approaches to account for subject/cluster level associations and maximum likelihood-based approaches for simulation and analysis of discrete longitudinal outcomes that may have overdispersion.
Dr. Psihogios' research focuses on improving treatment adherence in adolescents and young adults (AYA) with chronic medical conditions, particularly those with cancer. She uses real-time mobile health strategies to better understand the day-to-day factors that proximally impact treatment adherence.
Dr. Puopolo helped lead the research team that developed and validated multivariate prediction models for neonatal early-onset sepsis risk assessment. Her current research addresses the impacts of maternal immunity, perinatal antibiotic exposure, and neonatal infection on infant and childhood health.