Sfoglia per Autore
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.
Comments on: exploratory functional data analysis
2025-01-01 Paganoni, Anna Maria; Sangalli, Laura M.
Data analytics for real-world data integration in TKI-treated NSCLC patients using electronic health records
2025-01-01 Mazzeo, L.; Corso, F.; Baili, P.; Scotti, F.; Torri, V.; Ganzinelli, M.; Mišković, V.; Leporati, R.; Provenzano, L.; Spagnoletti, A.; Silvestri, C.; Giani, C.; Cavalli, C.; di Mauro, R. M.; Meazza Prina, M.; Proto, C.; Brambilla, M.; Occhipinti, M.; Manglaviti, S.; Beninato, T.; Miliziano, D.; Dumitrascu, A. D.; Di Liberti, G.; Cassano, T. S.; de Braud, F. G. M.; Russo, G. L.; Cappozzo, A.; Paganoni, A. M.; Ieva, F.; Prelaj, A.
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.
Urban mobility and learning: analyzing the influence of commuting time on students' GPA at Politecnico di Milano
2024-01-01 Burzacchi, Arianna; Rossi, Lidia; Agasisti, Tommaso; Paganoni, Anna Maria; Vantini, Simone
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.
A Spearman dependence matrix for multivariate functional data
2024-01-01 Ieva, F.; Ronzulli, M.; Romo, J.; Paganoni, A. M.
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.
Integrated Depths for Partially Observed Functional Data
2023-01-01 Elías, Antonio; Jiménez, Raúl; Paganoni, Anna M.; Sangalli, Laura M.
Learning high-order interactions for polygenic risk prediction
2023-01-01 Massi, M. C.; Franco, N. R.; Manzoni, A.; Paganoni, A. M.; Park, H. A.; Hoffmeister, M.; Brenner, H.; Chang-Claude, J.; Ieva, F.; Zunino, P.
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.
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.
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.
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.
Performing Learning Analytics via Generalised Mixed-Effects Trees
2021-01-01 Fontana, L.; Masci, C.; Ieva, F.; Paganoni, A. M.
Feature selection for imbalanced data with deep sparse autoencoders ensemble
2021-01-01 Massi, Michela Carlotta; Gasperoni, Francesca; Ieva, Francesca; Paganoni, Anna Maria
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.
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity
2021-01-01 Franco, Nicola Rares; Massi, Michela Carlotta; Ieva, Francesca; Manzoni, Andrea; Paganoni, Anna Maria; Zunino, Paolo; Veldeman, Liv; Ost, Piet; Fonteyne, Valérie; Talbot, Christopher J; Rattay, Tim; Webb, Adam; Johnson, Kerstie; Lambrecht, Maarten; Haustermans, Karin; De Meerleer, Gert; de Ruysscher, Dirk; Vanneste, Ben; Van Limbergen, Evert; Choudhury, Ananya; Elliott, Rebecca M; Sperk, Elena; Veldwijk, Marlon; Herskind, Carsten; Avuzzi, Barbara; Noris Chiorda, Barbara; Valdagni, Riccardo; Azria, David; Farcy-Jacquet, Marie-Pierre; Brengues, Muriel; Rosenstein, Barry S; Stock, Richard G; Vega, Ana; Elías Aguado-Barrera, Miguel; Sosa-Fajardo, Paloma; Dunning, Alison M; Fachal, Laura; Kerns, Sarah L; Payne, Debbie; Chang-Claude, Jenny; Seibold, Petra; Ml West, Catharine; Rancati, Tiziana
Interpretability and interaction learning for logistic regression models
2021-01-01 Franco, N. R.; Massi, M. C.; Ieva, F.; Paganoni, A. M.
PH-0656 Prediction of toxicity after prostate cancer RT: the value of a SNP-interaction polygenic risk score
2021-01-01 Rancati, T.; Massi, M.; Franco, N.; Avuzzi, B.; Azria, D.; Choudhury, A.; Cicchetti, A.; Dirk, D. R.; Dunning, A.; Elliott, R.; Ieva, F.; Kerns, S.; Lambrecht, M.; Manzoni, A.; Paganoni, A.; Rosenstein, B.; Seibold, P.; Sperk, E.; Talbot, C.; Vega, A.; Veldeman, L.; Zunino, P.; Webb, A.; Chang-Claude, J.; West, C.
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.
Multinomial semiparametric mixed-effects model for profiling engineering university students
2021-01-01 Masci, C.; Ieva, F.; Paganoni, A. M.
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.
Stability over time of the “hospital effect” on 30-day unplanned readmissions: Evidence from administrative data
2021-01-01 Roshanghalb, A.; Mazzali, C.; Lettieri, E.; Paganoni, A. M.; Bottle, A.
Treatment prescription, adherence, and persistence after the first hospitalization for heart failure: A population-based retrospective study on 100785 patients
2021-01-01 Scalvini, S.; Bernocchi, P.; Villa, S.; Paganoni, A. M.; La Rovere, M. T.; Frigerio, 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.
Eserciziario di Statistica Inferenziale
2020-01-01 Gasperoni, F.; Ieva, F.; Paganoni, A. M.
Non-parametric frailty Cox models for hierarchical time-to-event data
2020-01-01 Gasperoni, Francesca; Ieva, Francesca; Paganoni, Anna Maria; Jackson, Christopher H; Sharples, Linda
Multivariate Hidden Markov Models for disease progression
2020-01-01 Martino, A.; Guatteri, G.; Paganoni, A. M.
Deep Sparse Autoencoder-based Feature Selection for SNPs validation in Prostate Cancer Radiogenomics
2020-01-01 Massi, M. C.; Ieva, F.; Paganoni, A.; Manzoni, A.; Zunino, P.; Franco, N. R.; Rancati, T.; West, C.
Evaluating the effect of healthcare providers on the clinical path of heart failure patients through a semi-Markov, multi-state model
2020-01-01 Gasperoni, F.; Ieva, F.; Paganoni, A. M.; Jackson, C. H.; Sharples, L.
The Leydig cell tumor Scaled Score (LeSS) A method to distinguish benign from malignant cases, with additional correlation with MDM2 and CDK4 amplification
2020-01-01 Colecchia, Maurizio; Bertolotti, Alessia; Paolini, Biagio; Giunchi, Francesca; Necchi, Andrea; Paganoni, Anna Maria; Ricci, Costantino; Fiorentino, Michelangelo; Dagrada, Gian Paolo
Hidden Markov Models for multivariate functional data
2020-01-01 Martino, Andrea; Guatteri, Giuseppina; Paganoni, Anna Maria
Component-wise outlier detection methods for robustifying multivariate functional samples
2020-01-01 Ieva, Francesca; Paganoni, ANNA MARIA
Prediction of late radiotherapy toxicity in prostate cancer patients via joint analysis of SNPs sequences
2020-01-01 Franco, Nicola Rares; Massi, Michela Carlotta; Ieva, Francesca; Paganoni, Anna Maria; Manzoni, Andrea; Zunino, Paolo; Rancati, Tiziana; West, Catharine
Proton-Pump Inhibitor Provider Profiling via Funnel Plots and Poisson Regression
2020-01-01 Delle VEDOVE, Dario; Ieva, Francesca; Paganoni, ANNA MARIA
A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort
2020-01-01 Massi, MICHELA CARLOTTA; Gasperoni, Francesca; Ieva, Francesca; Paganoni, ANNA MARIA; Zunino, Paolo; Manzoni, Andrea; Franco, NICOLA RARES; Veldeman, Liv; Ost, Piet; Fonteyne, Val('(e))rie; Talbot, Christopher J.; Rattay, Tim; Webb, Adam; Symonds, Paul R.; Johnson, Kerstie; Lambrecht, Maarten; Haustermans, Karin; De Meerleer, Gert; de Ruysscher, Dirk; Vanneste, Ben; Van Limbergen, Evert; Choudhury, Ananya; Elliott, Rebecca M.; Sperk, Elena; Herskind, Carsten; Veldwijk, Marlon R.; Avuzzi, Barbara; Giandini, Tommaso; Valdagni, Riccardo; Cicchetti, Alessandro; Azria, David; Farcy Jacquet, Marie-Pierre; Rosenstein, Barry S.; Stock, Richard G.; Collado, Kayla; Vega, Ana; El('(i))as Aguado-Barrera, Miguel; Calvo, Patricia; Dunning, Alison M.; Fachal, Laura; Kerns, Sarah L.; Payne, Debbie; Chang-Claude, Jenny; Seibold, Petra; West, Catharine M. L.; Rancati, Tiziana
Statistica Medica
2019-01-01 Ieva, F.; Paganoni, A. M.; Secchi, P.
Classification of Italian classes via bivariate semiparametric multilevel models
2019-01-01 Masci, C.; Agasisti, T.; Ieva, F.; Paganoni, A. M.
Data-driven tool for monitoring of students performance
2019-01-01 Vilanova, R.; Dominguez, M.; Vicario, J.; Prada, M. A.; Barbu, M.; Varanda, M. J.; Alves, P.; Podpora, M.; Spagnolini, U.; Paganoni, A.
roahd Package: Robust Analysis of High Dimensional Data
2019-01-01 Ieva, F.; Paganoni, A. M.; Romo, J.; Tarabelloni, N.
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.
A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data
2019-01-01 Martino, Andrea; Ghiglietti, Andrea; Ieva, Francesca; Paganoni, Anna Maria
Semiparametric mixed-effects models for unsupervised classification of Italian schools
2019-01-01 Masci, Chiara; Paganoni, ANNA MARIA; Ieva, Francesca
Impact of in-hospital cardiac rehabilitation on mortality and readmissions in heart failure: A population study in Lombardy, Italy, from 2005 to 2012
2019-01-01 Scalvini, Simonetta; Grossetti, Francesco; Paganoni, Anna Maria; Teresa La Rovere, Maria; Pedretti, Roberto Fe; Frigerio, Maria
Marked point process models for the admissions of heart failure patients
2019-01-01 Mancini, Luca; Paganoni, Anna Maria
Analysis of dropout in engineering BSc using logistic mixed-effect models.
2018-01-01 Fontana, L.; Paganoni, A. M.
A simulation study on the use of response-adaptive randomized designs.
2018-01-01 Paganoni, A. M.; Ghiglietti, A.; Scarale, M. G.; Miceli, R.; Ieva, F.; Mariani, L.; Gavazzi, C.; Edefonti, V.
Speet: Visual data analysis of engineering students performance from academic Data?
2018-01-01 Domínguez, M.; Vilanova, R.; Prada, M. A.; Vicario, J.; Barbu, M.; Varanda, M. J.; Podpora, M.; Spagnolini, U.; Alves, P.; Paganoni, A.
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