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MOX Staff

Chiara Masci

External Scientific Collaborator

Contact Information

Phone:

+39 02 2399 4513

Fax:

Office:

14-Nave

Email:

Keywords

Statistical learning Health Analytics

Publications and profiles

IRIS

Available MOX Reports

Reports are ordered from the most recent.

22 reports

57/2025

A Novel DNA-Inspired Framework to Study University Dropout: Insights from Politecnico di Milano

GUAGLIARDI, O.; MASCI, C,; BRESCHI, V; PAGANONI A, ; TANELLI, M. September 17, 2025

21/2025

Uncovering mortality patterns and hospital effects in COVID-19 heart failure patients: a novel Multilevel logistic cluster-weighted modeling approach

CALDERA, L., MASCI, C., CAPPOZZO, A., FORLANI, M., ANTONELLI, B., LEONI, O., IEVA, F. April 28, 2025

14/2025

Stratified Multilevel Graphical Models: Examining Gender Dynamics in Education

NICOLUSSI, F.; MASCI, C. February 28, 2025

99/2024

Analysis of Higher Education Dropouts Dynamics through Multilevel Functional Decomposition of Recurrent Events in Counting Processes

RAGNI, A.; MASCI, C.; PAGANONI, A. M. November 23, 2024

41/2024

Ordinal Mixed-Effects Random Forest

BERGONZOLI, G.; ROSSI, L.; MASCI, C. June 5, 2024

88/2023

Joint modelling of recurrent and terminal events with discretely-distributed non-parametric frailty: application on re-hospitalizations and death in heart failure patients

MASCI, C.; SPREAFICO, M.; IEVA, F. November 8, 2023

70/2023

Assessing the Impact of Hybrid Teaching on Students' Academic Performance via Multilevel Propensity Score-based techniques

RAGNI, A.; IPPOLITO, D.; MASCI, C. September 25, 2023

23/2023

The Determinants of Mathematics Achievement: A Gender Perspective Using Multilevel Random Forest

BERTOLETTI, A.; CANNISTRà, M.; DIAZ LEMA, M.; MASCI, C.; MERGONI, A.; ROSSI, L.; SONCIN, M. February 27, 2023

15/2023

Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach

RAGNI, A.; MASCI, C.; IEVA, F.; PAGANONI, A. M. February 22, 2023

13/2023

Modelling time-to-dropout via Shared Frailty Cox Models. A trade-off between accurate and early predictions

MASCI, C.; CANNISTRà, M.; MUSSIDA, P. February 22, 2023

85/2022

A neural network approach to survival analysis for modelling time to cardiovascular diseases in HIV patients with longitudinal observations

LURANI CERNUSCHI , A.; MASCI, C.; CORSO, F.; MUCCINI, C.; CECCARELLI, D.; SAN RAFFAELE HOSPITAL GALLI, L.; IEVA, F.; PAGANONI, A.M.; CASTAGNA, A. November 28, 2022

23/2022

A multinomial mixed-effects model with discrete random effects for modelling dependence across response categories

MASCI, C.; IEVA, F.; PAGANONI, A.M. April 27, 2022

44/2020

EM algorithm for semiparametric multinomial mixed-effects models

MASCI, C.; IEVA, F.; PAGANONI A.M. July 21, 2020

41/2020

Not the magic algorithm: modelling and early-predicting students dropout through machine learning and multilevel approach

CANNISTRà,M.; MASCI, C.; IEVA, F.; AGASISTI, T.; PAGANONI, A.M. June 7, 2020

36/2020

Generalized Mixed-Effects Random Forest: a flexible approach to predict university student dropout

PELLAGATTI, M.; MASCI, C.; IEVA, F.; PAGANONI A.M. May 24, 2020

24/2019

Evaluating class and school effects on the joint achievements in different subjects: a bivariate semi-parametric mixed-effects model

MASCI, C.; IEVA, F.; AGASISTI, T.; PAGANONI A.M. July 5, 2019

43/2018

Performing Learning Analytics via Generalized Mixed-Effects Trees

FONTANA, L.; MASCI, C.; IEVA, F.; PAGANONI, A.M. July 29, 2018

63/2017

Non-parametric mixed-effects models for unsupervised classification of Italian schools

MASCI, C.; PAGANONI, A.M.; IEVA, F. November 23, 2017

31/2017

Using Machine Learning to Model Interaction Effects in Education: a Graphical Approach.

SCHILTZ, F.; MASCI, C.; AGASISTI, T.; HORN, D. June 27, 2017

26/2017

Student and School Performance in the OECD: a Machine Learning Approach.

MASCI, C.; JOHNES, G.; AGASISTI, T. June 5, 2017