Sfoglia per Autore
Early-predicting dropout of university students: an application of innovative multilevel machine learning and statistical techniques
2021-01-01 Cannistrà, M.; Masci, C.; Ieva, F.; Paganoni, A. M.; Agasisti, T.
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
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.
Modelling time to university dropout by means of time-dependent frailty COX PH models
2022-01-01 Giovio, M.; Mussida, P.; Masci, C.
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.
Survival models for predicting student dropout at university across time
2022-01-01 Masci, C.; Giovio, M.; Mussida, P.
Semiparametric Multinomial Mixed-Effects Models: a University Student Profiling Tool
2022-01-01 Masci, C.; Ieva, F.; Paganoni, A. M.
Multinomial Multilevel Models with Discrete Random Effects: a Multivariate Clustering Tool
2022-01-01 Masci, C.; Ieva, F.; Paganoni, A. M.
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.
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.
Modelling time-to-dropout via shared frailty Cox models. A trade-off between accurate and early predictions
2023-01-01 Masci, C.; Cannistrà, M.; Mussida, P.
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.
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.
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