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Titolo Data di pubblicazione Autori File
Urban mobility and learning: analyzing the influence of commuting time on students' GPA at Politecnico di Milano 1-gen-2024 Burzacchi, AriannaRossi, LidiaAgasisti, TommasoPaganoni, Anna MariaVantini, Simone
A Spearman dependence matrix for multivariate functional data 1-gen-2024 F. IevaA. M. Paganoni +
Inferential Tools for Assessing Dependence Across Response Categories in Multinomial Models with Discrete Random Effects 1-gen-2024 C. MasciF. IevaA. M. Paganoni
A novel statistical-significance based semi-parametric GLMM for clustering countries standing on their innumeracy levels 1-gen-2023 A. RagniC. MasciF. IevaA. M. Paganoni
Learning high-order interactions for polygenic risk prediction 1-gen-2023 Franco N. R.Manzoni A.Paganoni A. M.Ieva F.Zunino P. +
Multinomial Multilevel Models with Discrete Random Effects: a Multivariate Clustering Tool 1-gen-2022 C. MasciF. IevaA. M. Paganoni
A neural network approach to survival analysis with time-dependent covariates for modelling time to cardiovascular diseases 1-gen-2022 F. CorsoA. Lurani CernuschiC. MasciA. M. PaganoniF. Ieva +
Integrated Depths for Partially Observed Functional Data 1-gen-2022 Anna M. PaganoniLaura M. Sangalli +
Early-predicting dropout of university students: an application of innovative multilevel machine learning and statistical techniques 1-gen-2022 M. CannistràC. MasciF. IevaA. M. PaganoniT. Agasisti
Semiparametric Multinomial Mixed-Effects Models: a University Student Profiling Tool 1-gen-2022 C. MasciF. IevaA. M. Paganoni
Semi-parametric generalized linear mixed effects models for binary response for the analysis of heart failure hospitalizations 1-gen-2022 A. RagniC. MasciF. IevaA. M. Paganoni
How Much Tutoring Activities May Improve Academic Careers of At-Risk Students? An Evaluation Study 1-gen-2021 M. CannistràT. AgasistiA. M. PaganoniC. Masci
PH-0656 Prediction of toxicity after prostate cancer RT: the value of a SNP-interaction polygenic risk score 1-gen-2021 Massi, M.Franco, N.Ieva, F.Manzoni, A.Paganoni, A.Zunino, P. +
Multinomial semiparametric mixed-effects model for profiling engineering university students 1-gen-2021 C. MasciF. IevaA. M. Paganoni
Interpretability and interaction learning for logistic regression models 1-gen-2021 N. R. FrancoM. C. MassiF. IevaA. M. Paganoni
Feature selection for imbalanced data with deep sparse autoencoders ensemble 1-gen-2021 Massi, Michela CarlottaIeva, FrancescaPaganoni, Anna Maria +
Generalized mixed-effects random forest: A flexible approach to predict university student dropout 1-gen-2021 Massimo PellagattiChiara MasciFrancesca IevaAnna M. Paganoni
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
Performing Learning Analytics via Generalised Mixed-Effects Trees 1-gen-2021 C. MasciF. IevaA. M. Paganoni +
Treatment prescription, adherence, and persistence after the first hospitalization for heart failure: A population-based retrospective study on 100785 patients 1-gen-2021 A. M. Paganoni +
Stability over time of the “hospital effect” on 30-day unplanned readmissions: Evidence from administrative data 1-gen-2021 Roshanghalb A.Mazzali C.Lettieri E.Paganoni A. M. +
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity 1-gen-2021 Franco, Nicola RaresMassi, Michela CarlottaIeva, FrancescaManzoni, AndreaPaganoni, Anna MariaZunino, Paolo +
Eserciziario di Statistica Inferenziale 1-gen-2020 F. IevaA. M. Paganoni +
A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort 1-gen-2020 Michela Carlotta MassiFrancesca IevaAnna Maria PaganoniPaolo ZuninoAndrea ManzoniNicola Rares Franco +
Multivariate Hidden Markov Models for disease progression 1-gen-2020 Martino A.Guatteri G.Paganoni A. M.
The Leydig cell tumor Scaled Score (LeSS) A method to distinguish benign from malignant cases, with additional correlation with MDM2 and CDK4 amplification 1-gen-2020 Paganoni, Anna Maria +
Evaluating the effect of healthcare providers on the clinical path of heart failure patients through a semi-Markov, multi-state model 1-gen-2020 Ieva F.Paganoni A. M. +
Non-parametric frailty Cox models for hierarchical time-to-event data 1-gen-2020 Ieva, FrancescaPaganoni, Anna Maria +
Hidden Markov Models for multivariate functional data 1-gen-2020 Martino, AndreaGuatteri, GiuseppinaPaganoni, Anna Maria
Component-wise outlier detection methods for robustifying multivariate functional samples 1-gen-2020 IEVA, FRANCESCAPAGANONI, ANNA MARIA
Generalized Mixed Effects Random Forest: does Machine Learning help in predicting university student dropout? 1-gen-2020 M. PellagattiC. MasciF. IevaA. M. Paganoni
Prediction of late radiotherapy toxicity in prostate cancer patients via joint analysis of SNPs sequences 1-gen-2020 Franco, Nicola RaresMassi, Michela CarlottaIeva, FrancescaPaganoni, Anna MariaManzoni, AndreaZunino, Paolo +
Deep Sparse Autoencoder-based Feature Selection for SNPs validation in Prostate Cancer Radiogenomics 1-gen-2020 M. C. MassiF. IevaA. PaganoniA. ManzoniP. ZuninoN. R. Franco +
Proton-Pump Inhibitor Provider Profiling via Funnel Plots and Poisson Regression 1-gen-2020 Dario Delle VedoveFrancesca IevaAnna Maria Paganoni
BIVARIATE SEMI-PARAMETRIC MIXED-EFFECTS MODELS FOR CLASSIFYING THE EFFECTS OF ITALIAN CLASSES ON MULTIPLE STUDENT ACHIEVEMENTS 1-gen-2019 C. MasciF. IevaT. AgasistiA. M. Paganoni
roahd Package: Robust Analysis of High Dimensional Data 1-gen-2019 F. IevaA. M. Paganoni +
Statistica Medica 1-gen-2019 F. IevaA. M. PaganoniP. Secchi
Data-driven tool for monitoring of students performance 1-gen-2019 Spagnolini U.Paganoni A. +
Classification of Italian classes via bivariate semiparametric multilevel models 1-gen-2019 C. MasciT. AgasistiF. IevaA. M. Paganoni
A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data 1-gen-2019 MARTINO, ANDREAIeva, FrancescaPaganoni, Anna Maria +
Marked point process models for the admissions of heart failure patients 1-gen-2019 Paganoni, Anna Maria +
Impact of in-hospital cardiac rehabilitation on mortality and readmissions in heart failure: A population study in Lombardy, Italy, from 2005 to 2012 1-gen-2019 Paganoni, Anna Maria +
Semiparametric mixed-effects models for unsupervised classification of Italian schools 1-gen-2019 Chiara MasciAnna PaganoniFrancesca Ieva
Hidden Markov Models for disease progression. 1-gen-2018 MARTINO, ANDREAG. GuatteriA. M. Paganoni +
Multi-State model with nonparametric discrete frailty. 1-gen-2018 F. GasperoniF. IevaA. M. Paganoni +
Vector boson scattering: Recent experimental and theory developments 1-gen-2018 Paganoni AnnaSangalli Laura +
Serum human epididymis protein 4 vs. carbohydrate antigen 125 in ovarian cancer follow-up 1-gen-2018 Paganoni, Anna Maria +
A semiparametric Bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction 1-gen-2018 GUGLIELMI, ALESSANDRAIEVA, FRANCESCAPAGANONI, ANNA MARIA +
A multi-state approach to patients affected by chronic heart failure 1-gen-2018 IEVA, FRANCESCAPAGANONI, ANNA MARIA +
A simulation study on the use of response-adaptive randomized designs. 1-gen-2018 A. M. PaganoniF. Ieva +
Mostrati risultati da 1 a 50 di 184
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