Sfoglia per Autore
Analysis of higher education dropouts dynamics through multilevel functional decomposition of recurrent events in counting processes
2026-01-01 Ragni, A.; Masci, C.; Paganoni, A. M.
Mixture Models for Partially Observed Variables
2026-01-01 Nicolussi, F.; Masci, C.; Bertarelli, G.; Terzera, L.; Mecatti, F.
A Statistical Significance-Based Approach for Clustering Grouped Data via Generalized Linear Model with Discrete Random Effects
2025-01-01 Ragni, A.; Masci, C.; Ieva, F.; Paganoni, A. M.
Stratified Multilevel Graphical Models: a gender perspective in education
2025-01-01 Nicolussi, F.; Masci, C.
Assessing the impact of hybrid teaching on students’ academic performance via multilevel propensity score-based techniques
2024-01-01 Ragni, A.; Ippolito, D.; Masci, C.
Inferential Tools for Assessing Dependence Across Response Categories in Multinomial Models with Discrete Random Effects
2024-01-01 Masci, C.; Ieva, F.; Paganoni, A. M.
Analysis of Higher Education Dropouts Dynamics Through Functional Decomposition of Recurrent Events on Time-to-Event Processes
2024-01-01 Ragni, A.; Masci, C.; Paganoni, A. M.
Modelling time-to-dropout via shared frailty Cox models. A trade-off between accurate and early predictions
2024-01-01 Masci, C.; Cannistrà, M.; Mussida, P.
A novel statistical-significance based semi-parametric GLMM for clustering countries standing on their innumeracy levels
2023-01-01 Ragni, A.; Masci, C.; Ieva, F.; Paganoni, A. M.
The Determinants of Mathematics Achievement: A Gender Perspective Using Multilevel Random Forest
2023-01-01 Bertoletti, A.; Cannistrà, M.; Diaz Lema, M.; Masci, C.; Mergoni, A.; Rossi, L.; Soncin, M.
Survival models for predicting student dropout at university across time
2022-01-01 Masci, C.; Giovio, M.; Mussida, P.
Modelling time to university dropout by means of time-dependent frailty COX PH models
2022-01-01 Giovio, M.; Mussida, P.; Masci, C.
Semiparametric Multinomial Mixed-Effects Models: a University Student Profiling Tool
2022-01-01 Masci, C.; Ieva, F.; Paganoni, A. M.
A neural network approach to survival analysis with time-dependent covariates for modelling time to cardiovascular diseases
2022-01-01 Corso, F.; Lurani Cernuschi, A.; Galli, L.; Masci, C.; Muccini, C.; Paganoni, A. M.; Ieva, F.
Multinomial Multilevel Models with Discrete Random Effects: a Multivariate Clustering Tool
2022-01-01 Masci, C.; Ieva, F.; Paganoni, A. M.
Semi-parametric generalized linear mixed effects models for binary response for the analysis of heart failure hospitalizations
2022-01-01 Ragni, A.; Masci, C.; Ieva, F.; Paganoni, A. M.
Early-predicting dropout of university students: an application of innovative multilevel machine learning and statistical techniques
2022-01-01 Cannistrà, M.; Masci, C.; Ieva, F.; Paganoni, A. M.; Agasisti, T.
PET/CT‑based radiomics of mass‑forming intrahepatic cholangiocarcinoma improves prediction of pathology data and survival
2022-01-01 Fiz, F.; Masci, C.; Costa, G.; Sollini, M.; Chiti, A.; Ieva, F.; Torzilli, G.; Viganò, L.
Multinomial semiparametric mixed-effects model for profiling engineering university students
2021-01-01 Masci, C.; Ieva, F.; Paganoni, A. M.
Virtual biopsy in action: a radiomic-based model for CALI prediction
2021-01-01 Ieva, Francesca; Baroni, Giulia; Cavinato, Lara; Masci, Chiara; Costa, Guido; Fiz, Francesco; Chiti, Arturo; Viganò, Luca
Performing Learning Analytics via Generalised Mixed-Effects Trees
2021-01-01 Fontana, L.; Masci, C.; Ieva, F.; Paganoni, A. M.
Generalized mixed-effects random forest: A flexible approach to predict university student dropout
2021-01-01 Pellagatti, Massimo; Masci, Chiara; Ieva, Francesca; Paganoni, Anna M.
Virtual Biopsy for Diagnosis of Chemotherapy-Associated Liver Injuries and Steatohepatitis: A Combined Radiomic and Clinical Model in Patients with Colorectal Liver Metastases
2021-01-01 Costa, Guido; Cavinato, Lara; Masci, Chiara; Fiz, Francesco; Sollini, Martina; Politi, Letterio Salvatore; Chiti, Arturo; Balzarini, Luca; Aghemo, Alessio; di Tommaso, Luca; Ieva, Francesca; Torzilli, Guido; Viganò, Luca
How Much Tutoring Activities May Improve Academic Careers of At-Risk Students? An Evaluation Study
2021-01-01 Cannistrà, M.; Agasisti, T.; Paganoni, A. M.; Masci, C.
Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients
2021-01-01 Masci, C.; Ieva, F.; Agasisti, T.; Paganoni, A. M.
Generalized Mixed Effects Random Forest: does Machine Learning help in predicting university student dropout?
2020-01-01 Pellagatti, M.; Masci, C.; Ieva, F.; Paganoni, A. M.
BIVARIATE SEMI-PARAMETRIC MIXED-EFFECTS MODELS FOR CLASSIFYING THE EFFECTS OF ITALIAN CLASSES ON MULTIPLE STUDENT ACHIEVEMENTS
2019-01-01 Masci, C.; Ieva, F.; Agasisti, T.; Paganoni, A. M.
Classification of Italian classes via bivariate semiparametric multilevel models
2019-01-01 Masci, C.; Agasisti, T.; Ieva, F.; Paganoni, A. M.
Semiparametric mixed-effects models for unsupervised classification of Italian schools
2019-01-01 Masci, Chiara; Paganoni, ANNA MARIA; Ieva, Francesca
Unsupervised clustering of Italian schools via non-parametric multilevel models.
2018-01-01 Masci, C.; Ieva, F.; Paganoni, A. M.
Student and school performance across countries: A machine learning approach
2018-01-01 Masci, Chiara; Johnes, Geraint; Agasisti, Tommaso
The influence of school size, principal characteristics and school management practices on educational performance: An efficiency analysis of Italian students attending middle schools
2018-01-01 Masci, Chiara; De Witte, Kristof; Agasisti, Tommaso
Using regression tree ensembles to model interaction effects: a graphical approach
2018-01-01 Schiltz, Fritz; Masci, Chiara; Agasisti, Tommaso; Horn, Daniel
NONPARAMETRIC MIXED-EFFECTS MODEL FOR UNSUPERVISED CLASSIFICATION IN THE ITALIAN EDUCATION SYSTEM
2017-01-01 Masci, C.; Agasisti, T.; Ieva, F.; Paganoni, A. M.
Using statistical analytics to study school performance through administrative datasets
2017-01-01 Agasisti, Tommaso; Ieva, Francesca; Masci, Chiara; Paganoni, ANNA MARIA; Soncin, Mara
Bivariate multilevel models for the analysis of mathematics and reading pupils' achievements
2017-01-01 Masci, Chiara; Ieva, Francesca; Agasisti, Tommaso; Paganoni, ANNA MARIA
Laboratorio di Statistica con R 2/Ed. con MyLab e eText
2016-01-01 Ieva, Francesca; Masci, Chiara; Paganoni, ANNA MARIA
Analysis of pupils’ INVALSI achievements by means of bivariate multilevel models.
2016-01-01 Masci, Chiara; Paganoni, ANNA MARIA; Ieva, Francesca; Agasisti, Tommaso
Does class matter more than school? Evidence from a multilevel statistical analysis on Italian junior secondary school students
2016-01-01 Masci, Chiara; Ieva, Francesca; Agasisti, Tommaso; Paganoni, ANNA MARIA
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