MASCI, CHIARA
MASCI, CHIARA
Dipartimento di Economia, Management e Metodi Quantitativi
Innovative statistical method for longitudinal and hierarchical data modeling: the GMEXGBoost method
2026 F. Asadi, R. Homayounfar, Y. Mehrali, C. Masci, F. Zayeri
Analysis of higher education dropouts dynamics through multilevel functional decomposition of recurrent events in counting processes
2026 A. Ragni, C. Masci, A.M. Paganoni
A neural-network approach for predicting time to cardiovascular diseases in HIV patients based on real-world data
2025 A. Lurani Cernuschi, C. Masci, F. Corso, C. Muccini, D. Ceccarelli, L. Galli, F. Ieva, A. Castagna, A. Maria Paganoni
Risky decline? Exploring the determinants of pupil's proficiency development over time
2025 M.L. Diaz Lema, C. Masci, M. Soncin, T. Agasisti
Uncovering mortality patterns and hospital effects in COVID-19 heart failure patients: a novel multilevel logistic cluster-weighted modeling approach
2025 L. Caldera, C. Masci, A. Cappozzo, M. Forlani, B. Antonelli, O. Leoni, F. Ieva
Application of generalized linear mixed effects random forest for identifying risk factors of prediabetes in Tehran Lipid and Glucose Study
2025 M. Karimi Ghahfarokhi, F. Zayeri, D. Khalili, C. Masci, A. Sheidaei, Y. Mehrali, F. Masaebi, Y. Mehrabi
A statistical significance-based approach for clustering grouped data via generalized linear model with discrete random effects
2025 A. Ragni, C. Masci, F. Ieva, A.M. Paganoni
Detection of cardiovascular disease cases using advanced tree-based machine learning algorithms
2024 F. Asadi, R. Homayounfar, Y. Mehrali, C. Masci, S. Talebi, F. Zayeri
Modelling time-to-dropout via shared frailty Cox models. A trade-off between accurate and early predictions
2024 C. Masci, M. Cannistrà, P. Mussida
Analysis of Higher Education Dropouts Dynamics Through Functional Decomposition of Recurrent Events on Time-to-Event Processes
2024 A. Ragni, C. Masci, A.M. Paganoni
Inferential tools for assessing dependence across response categories in multinomial models with discrete random effects
2024 C. Masci, F. Ieva, A.M. Paganoni
Assessing the impact of hybrid teaching on students’ academic performance via multilevel propensity score-based techniques
2024 A. Ragni, D. Ippolito, C. Masci
The determinants of mathematics achievement: A gender perspective using multilevel random forest
2023 A. Bertoletti, M. Cannistrà, M. Diaz Lema, C. Masci, A. Mergoni, L. Rossi, M. Soncin
Multinomial Multilevel Models with Discrete Random Effects: a Multivariate Clustering Tool
2022 C. Masci, F. Ieva, A.M. Paganoni
Modelling time to university dropout by means of time-dependent frailty COX PH models = Modelli di COX tempo-dipendenti con frailty per la modellizzazione del tempo all’abbandono universitario
2022 M. Giovio, P. Mussida, C. Masci
Survival models for predicting student dropout at university across time
2022 C. Masci, G. M., M. P.
Semi-parametric generalized linear mixed effects models for binary response for the analysis of heart failure hospitalizations = Modelli lineari generalizzati ad effetti misti semi-parametrici per risposta binaria per l’analisi di ospedalizzazioni per scompenso cardiaco
2022 A. Ragni, C. Masci, F. Ieva, A.M. Paganoni
A neural network approach to survival analysis with time-dependent covariates for modelling time to cardiovascular diseases in HIV patients = Un approccio basato su reti neurali per l’analisi di sopravvivenza con variabili tempo-dipendenti per predire il tempo all’evento cardiovascolare in pazienti affetti da HIV
2022 F. Corso, A. Lurani Cernuschi, L. Galli, C. Masci, C. Muccini, A.M. Paganoni, F. Ieva
Semiparametric multinomial mixed-effects models: a University student profiling tool
2022 C. Masci, F. Ieva, A.M. Paganoni
Early-predicting dropout of university students: an application of innovative multilevel machine learning and statistical techniques
2022 M. Cannistrà, C. Masci, F. Ieva, T. Agasisti, A. Maria Paganoni