His research focuses on the development and application of statistical methods to observational studies in clinical epidemiology and health services research.
A central theme is the analysis of clinical and administrative data—often population-based—to evaluate care processes and outcomes, quality, appropriateness, and equity of care, and to compare health care organizations and systems. His methods include longitudinal and multilevel models, survival and multistate analysis, and risk-adjustment procedures.
His main applied areas include chronic conditions—particularly diabetes—and multimorbidity, medication adherence, prevention, and vaccination, with attention to organizational determinants and missed opportunities for prevention.
He also works with clinical and interdisciplinary teams, contributing to study design, methodological choices, data analysis, and interpretation.
Alongside his applied work, he pursues interests in statistical theory and probability.
