Raffaella Piccarreta

Associate Professor
Knowledge groupEconomics, Politics and Decision Sciences
Research domainsBusiness Data Analytics
Download V-CardDownload CV

Biography

Raffaella Piccarreta is an Associate Professor of Statistics at Università Bocconi. She is a fellow of Dondena (Centre for Research on Social Dynamics and Public Policy), of BIDSA (Bocconi Institute for Data Science and Analytics) and of the CovidCrisis Lab (Laboratory for Coronavirus Crisis Research).She is a member of the SIS (Italian Statistics Society) and of SAA (Sequence Analysis Association), and one of the members of the Executive Committee of SAA. 

Her work focuses on data analysis. Most of her research relates to the study of life course trajectories and events. She has a specific interest for Sequence Analysis, a technique aimed at identifying patterns in categorical longitudinal data, as well as for all the approaches to deal with this type of data. She coauthored a number of papers focused on different data. In particular, recently she worked on data on COVID-19. She is the author of numerous articles on her topics of interest. Her works have been published in the Epidemiology Journal, Studies in Classification, Data Analysis and Knowledge Organization and Studies in Classification, Data Analysis and Knowledge Organization, among others.  

She has a Degree in Economics and Social Sciences (DES) from Università Bocconi and a Phd in Statistics from University of Trento.  

 

Recent Publications

Download
  • 2025
    Applied Statistical Methods
    TRENTINI, F., D. TONINI, R. PICCARRETA - "Applied Statistical Methods" - 2025, Egea, Milano, Italy
  • 2024
    Identifying and Qualifying Deviant Cases in Clusters of Sequences: The Why and The How
    PICCARRETA, R., E. STRUFFOLINO, "Identifying and Qualifying Deviant Cases in Clusters of Sequences: The Why and The How", European Journal of Population - Revue Européenne de Demographie, 2024, vol. 40, no. 1
  • 2024
    Tools for analysing fuzzy clusters of sequences data
    PICCARRETA, R., E. STRUFFOLINO, "Tools for analysing fuzzy clusters of sequences data", Demographic Research, 2024, vol. 51, pp. 553-576
  • 2022
    Pressure on the Health-Care System and Intensive Care Utilization During the COVID-19 Outbreak in the Lombardy Region of Italy: A Retrospective Observational Study in 43,538 Hospitalized Patients
    TRENTINI, F., V. MARZIANO, G. GUZZETTA, M. TIRANI, D. CEREDA, P. POLETTI, R. PICCARRETA, A. BARONE, G. PREZIOSI, F. ARDUINI, P. G. DELLA VALLE, A. ZANELLA, F. GROSSO, G. DEL CASTILLO, A. CASTROFINO, G. GRASSELLI, A. MELEGARO, A. PIATTI, A. ANDREASSI, M. GRAMEGNA, M. AJELLI, S. MERLER, "Pressure on the Health-Care System and Intensive Care Utilization During the COVID-19 Outbreak in the Lombardy Region of Italy: A Retrospective Observational Study in 43,538 Hospitalized Patients", American Journal of Epidemiology, 2022, vol. 191, no. 1, pp. 137-146
  • 2022
    Life-course perspective on personality traits and fertility with sequence analysis
    MENCARINI, L., R. PICCARRETA, M. LE MOGLIE, "Life-course perspective on personality traits and fertility with sequence analysis", Journal of the Royal Statistical Society. Series A - Statistics in Society, 2022, vol. 185, no. 3, pp. 1344-1369
  • 2022
    Sequence analysis: Its past, present, and future
    LIAO, T. F., D. BOLANO, C. BRZINSKY-FAY, B. CORNWELL, A. E. FASANG, S. HELSKE, R. PICCARRETA, M. RAAB, G. RITSCHARD, E. STRUFFOLINO, M. STUDER, "Sequence analysis: Its past, present, and future", Social Science Research, 2022, vol. 107, pp. 102772
  • 2022
    Colombian Women’s Life Patterns: A Multivariate Density Regression Approach
    WADE, S., R. PICCARRETA, A. CREMASCHI, I. ANTONIANO-VILLALOBOS, "Colombian Women’s Life Patterns: A Multivariate Density Regression Approach", Bayesian Analysis, 2022, vol. 17, no. 2, pp. 405 - 433
  • 2021
    Association of Age With Likelihood of Developing Symptoms and Critical Disease Among Close Contacts Exposed to Patients With Confirmed SARS-CoV-2 Infection in Italy
    POLETTI, P., M. TIRANI, D. CEREDA, F. TRENTINI, G. GUZZETTA, V. MARZIANO, G. SABATINO, A. CASTROFINO, F. GROSSO, G. DEL CASTILLO, R. PICCARRETA, A. ANDREASSI, A. MELEGARO, M. GRAMEGNA, M. AJELLI, S. MERLER, ATS LOMBARDY COVID-19 TASK FORCE, "Association of Age With Likelihood of Developing Symptoms and Critical Disease Among Close Contacts Exposed to Patients With Confirmed SARS-CoV-2 Infection in Italy", JAMA Network Open, 2021, vol. 4, no. 3, pp. 1-10
  • 2021
    A Bayesian Approach for Model-Based Clustering of Several Binary Dissimilarity Matrices: The Package in
    VENTURINI, S., R. PICCARRETA, "A Bayesian Approach for Model-Based Clustering of Several Binary Dissimilarity Matrices: The Package in", Journal of Statistical Software, 2021, vol. 100, no. 16, pp. 1-35
  • 2021
    Seroprevalence of and Risk Factors Associated With SARS-CoV-2 Infection in Health Care Workers During the Early COVID-19 Pandemic in Italy
    POLETTI, P., M. TIRANI, D. CEREDA, G. GUZZETTA, F. TRENTINI, V. MARZIANO, C. TOSO, A. PIATTI, R. PICCARRETA, A. MELEGARO, A. ANDREASSI, M. GRAMEGNA, M. AJELLI, S. MERLER, "Seroprevalence of and Risk Factors Associated With SARS-CoV-2 Infection in Health Care Workers During the Early COVID-19 Pandemic in Italy", JAMA Network Open, 2021, vol. 4, no. 7

You have seen 10 out of 53 items