Sergio Venturini
Affiliate Professor
Biografia
Sergio Venturini è Affiliate Professor nell'ambito del Knowledge Group di Decision Sciences & Business Analytics presso SDA Bocconi School of Management. Presso la Scuola, è stato membro Comitato DIR (Divisione Ricerche Claudio Demattè) dal 2006 al 2008. Attualmente, è membro della faculty dei seguenti programmi: Master in Business Administration (MBA), Master in Corporate Finance (MCF), Master of International Healthcare Management Economics and Policy (MIHMEP), Master in Public Management (MPM).
E' stato Lecturer del Dipartimento di Scienze delle Decisioni presso l'Università Bocconi.
Le sue ricerche si concentrano su business analytics, i metodi statistici per il controllo della qualità e l’analisi dei dati in ambito sanitario.
Autore di saggi e articoli che riguardano i temi da lui trattati. I suoi lavori sono stati pubblicati su journal importanti quali Annals of Applied Statistics, Cancer Biology & Therapy, Clinical Drug Investigation e Breast Cancer Research and Treatment.
Ha gestito progetti di ricerca e formazione con primarie aziende operanti nel settore food.
È stato Visiting Scholar presso la Harvard School of Public Health e la Johns Hopkins Bloomberg School of Public Health.
Sergio ha conseguito la Laurea in Economia delle Istituzioni e dei Mercati Finanziari e un Dottorato in Statistics entrambi presso l’Università Bocconi.
Pubblicazioni recenti
- 2024
Do automation and AI impact on job reduction? A study on perceived risk of losing job among white-collars in the Italian manufacturing companies
CHIARINI, A., A. GRANDO, S. VENTURINI, E. BORGONOVO, "Do automation and AI impact on job reduction? A study on perceived risk of losing job among white-collars in the Italian manufacturing companies", Production Planning & Control, 2024, vol. 35, no. 16, pp. 2198-2211 - 2024
Decision Science with Excel: Business Applications
TAVA, L. V., M. POLI, S. VENTURINI - "Decision Science with Excel: Business Applications" - 2024, Egea, Milano, Italy - 2024
Principles of Business Analytics
BORGONOVO, E., D. FEIN, E. POLI, S. VENTURINI - "Principles of Business Analytics" - 2024, Bocconi University Press - BUP, Milano, Italy - 2023
Subpopulation Treatment Effect Pattern Plot (STEPP) Methods with R and Stata
VENTURINI, S., M. BONETTI, A. A. LAZAR, B. F. COLE, X. WANG, R. D. GELBER, W.-K. YIP, "Subpopulation Treatment Effect Pattern Plot (STEPP) Methods with R and Stata", Journal of Data Science, 2023, vol. 21, no. 1, pp. 106-.126 - 2023
Software Packages forPartial Least Squares Structural Equation Modeling: An Updated Review
VENTURINI, S., M. MEHMETOGLU, H. LATAN, "Software Packages forPartial Least Squares Structural Equation Modeling: An Updated Review" in Partial Least Squares Path Modeling., Hengky Latan, Joseph F. Hair,, Richard Noonan (Eds.), Springer International Publishing, pp. 113-152, 2023 - 2022
Multiple Bayesian network meta-analyses to establish therapeutic algorithms for metastatic triple negative breast cancer
SCHETTINI, F., S. VENTURINI, M. GIULIANO, M. LAMBERTINI, D. J. PINATO, C. E. ONESTI, P. DE PLACIDO, N. HARBECK, D. LÜFTNER, H. DENYS, P. VAN DAM, G. ARPINO, K. ZAMAN, G. MUSTACCHI, J. GLIGOROV, A. AWADA, M. CAMPONE, H. WILDIERS, A. GENNARI, V. TJAN-HEIJNEN, R. BARTSCH, J. CORTES, I. PARIS, M. MARTÍN, S. DE PLACIDO, L. DEL MASTRO, G. JERUSALEM, G. CURIGLIANO, A. PRAT, D. GENERALI, "Multiple Bayesian network meta-analyses to establish therapeutic algorithms for metastatic triple negative breast cancer", Cancer Treatment Reviews, 2022, vol. 111, pp. 102468 - 2021
Structural Equation Modelling with Partial Least Squares Using Stata and R
MEHMETOGLU, M., S. VENTURINI - "Structural Equation Modelling with Partial Least Squares Using Stata and R" - 2021, CRC Press – Taylor & Francis Group, Boca Raton, FL, United States of America - 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
Endocrine-Based Treatments in Clinically-Relevant Subgroups of Hormone Receptor-Positive/HER2-Negative Metastatic Breast Cancer: Systematic Review and Meta-Analysis
SCHETTINI, F., M. GIULIANO, F. GIUDICI, B. CONTE, P. DE PLACIDO, S. VENTURINI, C. ROGNONI, A. DI LEO, M. LOCCI, G. JERUSALEM, L. DEL MASTRO, F. PUGLISI, P. CONTE, M. DE LAURENTIIS, L. PUSZTAI, M. F. RIMAWI, R. SCHIFF, G. ARPINO, S. DE PLACIDO, A. PRAT, D. GENERALI, "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 - 2021
Seroconversion in patients with cancer and oncology health care workers infected by SARS-CoV-2
MARRA, A., D. GENERALI, P. ZAGAMI, V. CERVONI, S. GANDINI, S. VENTURINI, S. MORGANTI, R. PASSERINI, R. ORECCHIA, G. CURIGLIANO, "Seroconversion in patients with cancer and oncology health care workers infected by SARS-CoV-2", Annals of Oncology, 2021, vol. 32, no. 1, pp. 113-119
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Grants & Premi
Best Teaching Award - Undergraduate School, Università Commerciale Luigi Bocconi, 2019
