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I got my PhD degree in Mathematical Models and Methods in Engineering from Politecnico di Milano. During my PhD I investigated and proposed new statistical models for dealing with complex time-to-event data (i.e., hierarchical data and recurrent/competing events). I had also the opportunity to work with cardiologists to address more clinical research questions.
Selected PapersSpreafico M.; Gasperoni F.; Barbati G.; Ieva F.; Scagnetto A.; Zanier L.; Iorio A.; Sinagra G; Di Lenarda A. (2019)Adherence to Disease-Modifying Therapy in Patients Hospitalized for HF: Findings from a Community-Based Study.
American Journal of Cardiovascular Drugs 20: 179-190
Gasperoni F.; Ieva F.; Paganoni A.M.; Jackson C.H.; Sharples L.D. (2018)Non-parametric frailty cox models for hierarchical time-to-event data.
Gasperoni F.; Luati A. (2017)Robust methods for detecting spontaneous activations in fMRI data.
Springer International Publishing Studies in Neural Data Science.: 91-120
Gasperoni F.; Ieva F.; Barbati G.; Scagnetto A.; Iorio A.; Sinagra G.; Di Lenarda A. (2017)Multi-state modelling of heart failure care path: A population-based investigation from Italy.
PLOS ONE 12(6): 1-15