MASCI, CHIARA

MASCI, CHIARA  

DIPARTIMENTO DI MATEMATICA  

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Titolo Data di pubblicazione Autori File
Analysis of pupils’ INVALSI achievements by means of bivariate multilevel models. 1-gen-2016 MASCI, CHIARAPAGANONI, ANNA MARIAIEVA, FRANCESCAAGASISTI, TOMMASO
Bivariate multilevel models for the analysis of mathematics and reading pupils' achievements 1-gen-2017 MASCI, CHIARAIEVA, FRANCESCAAGASISTI, TOMMASOPAGANONI, ANNA MARIA
Classification of Italian classes via bivariate semiparametric multilevel models 1-gen-2019 C. MasciT. AgasistiF. IevaA. M. Paganoni
Does class matter more than school? Evidence from a multilevel statistical analysis on Italian junior secondary school students 1-gen-2016 MASCI, CHIARAIEVA, FRANCESCAAGASISTI, TOMMASOPAGANONI, ANNA MARIA
Early-predicting dropout of university students: an application of innovative multilevel machine learning and statistical techniques 1-gen-2021 M. CannistràC. MasciF. IevaA. M. PaganoniT. Agasisti
Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients 1-gen-2021 C. MasciF. IevaT. AgasistiA. M. Paganoni
Generalized Mixed Effects Random Forest: does Machine Learning help in predicting university student dropout? 1-gen-2020 M. PellagattiC. MasciF. IevaA. M. Paganoni
Generalized mixed‐effects random forest: A flexible approach to predict university student dropout 1-gen-2021 M. PellagattiC. MasciF. IevaA. M. Paganoni
The influence of school size, principal characteristics and school management practices on educational performance: An efficiency analysis of Italian students attending middle schools 1-gen-2018 MASCI, CHIARAAGASISTI, TOMMASO +
Laboratorio di Statistica con R 2/Ed. con MyLab e eText 1-gen-2016 IEVA, FRANCESCAMASCI, CHIARAPAGANONI, ANNA MARIA
Multinomial semiparametric mixed-effects model for profiling engineering university students 1-gen-2021 C. MasciF. IevaA. M. Paganoni
Performing Learning Analytics via Generalised Mixed-Effects Trees 1-gen-2021 C. MasciF. IevaA. M. Paganoni +
Semiparametric mixed-effects models for unsupervised classification of Italian schools 1-gen-2019 Chiara MasciAnna PaganoniFrancesca Ieva
Semiparametric Multinomial Mixed-Effects Models: a University Student Profiling Tool 1-gen-2022 C. MasciF. IevaA. M. Paganoni
Student and school performance across countries: A machine learning approach 1-gen-2018 Masci, ChiaraAgasisti, Tommaso +
Survival models for predicting student dropout at university across time 1-gen-2022 Masci C.M. GiovioP. Mussida
Unsupervised clustering of Italian schools via non-parametric multilevel models. 1-gen-2018 C. MasciF. IevaA. M. Paganoni
Using regression tree ensembles to model interaction effects: a graphical approach 1-gen-2018 Masci, ChiaraAgasisti, Tommaso +
Using statistical analytics to study school performance through administrative datasets 1-gen-2017 AGASISTI, TOMMASOIEVA, FRANCESCAMASCI, CHIARAPAGANONI, ANNA MARIASONCIN, MARA
Virtual Biopsy for Diagnosis of Chemotherapy-Associated Liver Injuries and Steatohepatitis: A Combined Radiomic and Clinical Model in Patients with Colorectal Liver Metastases 1-gen-2021 Cavinato, LaraMasci, ChiaraIeva, Francesca +