I am a Professor in Medical Statistics at the University of Milano-Bicoocca and I have been working to strenghten the academic interaction between the two departments with an active exchange of students and faculties. My current research is on lifestyle epidemiology and causal models in observational data.
My interest in applying statistical methods to medical research started in with the study of the epidemiology of HIV infection and AIDS. The statistical challenge was to estimate the current HIV incidence and prevalence, based on the observed temporal distribution of AIDS cases. Statistical models, mainly an extension of GLM, were proposed and adapted to the Italian and American Data.
My interest moved toward epidemiology of cancer and other chronic diseases once I moved to Karolinska Institutet. I have been mainly involved in etiology research, by using invaluable data from the Swedish registries. The statistical analysis of case-control and cohort studies to assess the possible causal effects of well-defined risk factors on both cancer incidence and death has represented my main duty. Furthermore, I have been involved in analyzing longitudinal data, where both exposure and outcome have been measured repeatedly over time. Leukemia, Lymphoma, Brain, Prostate, Ovarian cancer are some of the malignancies I have been focusing on.
My methodogical interests are on causal inference, longitudinal data, missing data, smoothing and resampling techniques and more generally in statististical issues in epidemiology.
I am responsible, together with other colleagues from my department, for teaching basic and advanced courses in Biostatistics at Karolinska Institutet.
My address: Department of Statistics and Quantitative Methods University of Milano-Bicocca Via Bicocca degli Arcimboldi 8, U7, 20126 Milan, Italy
- Sc.D., Harvard School of Public Health, Boston 1998