Sergio Venturini

Sergio Venturini is an Affiliate Professor in the Knowledge Group of Decision Sciences & Business Analytics at SDA Bocconi School of Management. At SDA, he was a member of the Claudio Demattè Research Division Committee from 2006 to 2008. At present, he is a faculty member of the following programs: Master in Business Administration (MBA), Master in Corporate Finance (MCF), Master of International Healthcare Management Economics and Policy (MIHMEP), Master in Public Management (MPM).

He has been a Lecturer at the Department of Decision Sciences at Università Bocconi.

His research activities focus on business analytics, statistical methods for quality assurance and public health data analysis.

He is the author of numerous books and articles on his topics of interest. His works have been published in Annals of Applied Statistics, Cancer Biology & Therapy, Clinical Drug Investigation and Breast Cancer Research and Treatment, among others.

He has conducted research and education projects with major enterprises operating in the food industry.

He was a Visiting Scholar at Harvard School of Public Health and Johns Hopkins Bloomberg School of Public Health.

Sergio earned a degree in Financial Markets and Institutions and a Ph.D. in Statistics both from Università Bocconi.

Teaching domains

• Big & Small Data
• Descriptive Analytics
• Predictive Analytics
• Time Series Analysis
• Financial Modelling

Latest publications

SCHETTINI F., GIULIANO M., GIUDICI F., CONTE B., DE PLACIDO P., VENTURINI S., ROGNONI C., DI LEO A., LOCCI M., JERUSALEM G., DEL MASTRO L., PUGLISI F., CONTE P., DE LAURENTIIS M., PUSZTAI L., RIMAWI M. F., SCHIFF R., ARPINO G., DE PLACIDO S., PRAT A., GENERALI D. Endocrine-Based Treatments in Clinically-Relevant Subgroups of Hormone Receptor-Positive/HER2-Negative Metastatic Breast Cancer: Systematic Review and Meta-Analysis Cancers, 2021, vol.13, no. 6, pp.1458

VENTURINI S., PICCARRETA R. 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

MEHMETOGLU M., VENTURINI S. Structural Equation Modelling with Partial Least Squares Using Stata and R CRC Press – Taylor & Francis Group, Boca Raton, FL, United States of America, 2021

SCHETTINI F., GIUDICI F., GIULIANO M., CRISTOFANILLI M., ARPINO G., DEL MASTRO L., DE PLACIDO S., PUGLISI F., VENTURINI S., PARIS I., DE PLACIDO P., DE LAURENTIS M., CONTE P., JURIC D., LLOMBART-CUSSAC A., PUSZTAI L., PRAT A., JERUSALEM G., DI LEO A., GENERALI D. Overall survival of CDK4/6-inhibitors-based treatments in clinically relevant subgroups of metastatic breast cancer: systematic review and meta-analysis JNCI: Journal of the National Cancer Institute, 2020, vol.112, no. 11, pp.1089-1097

GRAZIANI R., VENTURINI S. A Bayesian approach to discrete multiple outcome network meta-analysis Plos One, 2020, vol.15, no. 4, pp.e0231876

GIULIANO M., ROGNONI C., SCHETTINI F., MILANI M., JERUSALEM G., BACHELOT T., DE LAURENTIIS M., THOMAS G., DE PLACIDO P., ARPINO G., DE PLACIDO S., CRISTOFANILLI M., GIORDANO A., PUGLISI F., PISTILLI B., PRAT A., DEL MASTRO L., VENTURINI S., GENERALI D. Endocrine treatment versus chemotherapy in postmenopausal women with hormone receptor-positive, HER2-negative, metastatic breast cancer: a systematic review and network meta-analysis The Lancet Oncology, 2019, vol.20, no. 10, pp.1360-1369

Grants & Honors

Best Teaching Award - Undergraduate School - Università Commerciale Luigi Bocconi , 2019