Contacts

Raffaella Piccarreta

Department of Decision Sciences
Associate Professor
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Office Hours and Appointments

Bio

I am an Associate Professor of Statistics at Bocconi University, Milan. I hold a PhD in Statistics from the University of Trento.

I am 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).

I am member of the SAA (Sequence Analysis Association), and one of the members of the Executive Committee of SAA.

Research Interests

My work focuses on data analysis. Most of my research relates to the study of life course trajectories and events. I have 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.

Being very keen to cooperation, I coauthored a number of paper focused on different data. In particular, in 2020/2021 I worked on data on COVID-19.

I love coding, and on my Github page (https://github.com/raffaellapiccarreta) I upload some codes (not too many because I am very slow) related to my research and to my teaching activity. In particular, at the moment you find there the beta version of the package UBStats that I developed (together with Sergio Venturini) to simplify the application of basic stats using R/RStudio...  

Publications

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
Seroprevalence of and Risk Factors Associated With SARS-CoV-2 Infection in Health CareWorkers During the Early COVID-19 Pandemic in Italy
JAMA NETWORK OPEN, 2021
Clustering longitudinal life-course sequences using mixtures of exponential-distance models
JOURNAL OF THE ROYAL STATISTICAL SOCIETY. SERIES A. STATISTICS IN SOCIETY, 2021
Households’ changing structure and consumption: the effect of the economic crisis during the period 2008-2013
RIVISTA DI STATISTICA UFFICIALE, 2018
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
Age-specific SARS-CoV-2 infection fatality ratio and associated risk factors, Italy, February to April 2020
EUROSURVEILLANCE, 2020
A Bayesian approach for model-based clustering of several binary dissimilarity matrices: the dmbc package in R
JOURNAL OF STATISTICAL SOFTWARE, 2021
Colombian women's life patterns: a multivariate density regression approach
BAYESIAN ANALYSIS, 2022
Holistic analysis of the life course: methodological challenges and new perspectives
ADVANCES IN LIFE COURSE RESEARCH, 2019
Identifying and qualifying deviant cases in clusters of sequences: the why and the how
EUROPEAN JOURNAL OF POPULATION, 2024

Teaching

20354
PRECORSO DI STATISTICA ED ANALISI DEI DATI
20570
DATA ANALYTICS AND VISUALIZATION
40998
APPLIED MULTIVARIATE ANALYSIS
30001
STATISTICA
Past years teaching

Additional teachings info

For many years I taught Statistics in undergraduate programs. I also taught courses on coding, computational statistics, time series analysis, and sample design. 

I have been teaching the course on Data Analytics and Visualisation at EMIT MSc and before at CLEMIT since the beginning. I also teach one Phd course on Applied Data Analysis.

Since the a.y. 2022/2023 I am  the responsible of the course on Statistics (Undergraduate school, CLEAM, CLEF, BIEM, BIEF)