Anna Maria Paganoni

Full Professor
Coordinator of the Degree Course in Mathematical Engineering

Contact Information

Phone:
+39 02 2399 4574
Fax:
+39 02 2399 4568
Office:
Ed. 14 - Nave
Email:

Keywords

Statistical learning
Health Analytics
Living Systems and Precision Medicine

Publications

    

Available MOX Reports

BURZACCHI, A.; ROSSI, L.; AGASISTI, T.; PAGANONI, A. M.; VANTINI, S.
Commuting time as a determinant of higher education students' performance: the case of Politecnico di Milano
IEVA, F.; RONZULLI, M.; ROMO, J.; PAGANONI, A.M.
A Spearman Dependence Matrix for Multivariate Functional Data
RAGNI, A.; MASCI, C.; IEVA, F.; PAGANONI, A. M.
Clustering Hierarchies via a Semi-Parametric Generalized Linear Mixed Model: a statistical significance-based approach
LURANI CERNUSCHI , A.; MASCI, C.; CORSO, F.; MUCCINI, C.; CECCARELLI, D.; SAN RAFFAELE HOSPITAL GALLI, L.; IEVA, F.; PAGANONI, A.M.; CASTAGNA, A.
A neural network approach to survival analysis for modelling time to cardiovascular diseases in HIV patients with longitudinal observations
ELíAS, A.; JIMéNEZ, R.; PAGANONI, A.M.; SANGALLI, L.M.
Integrated Depths for Partially Observed Functional Data
MASCI, C.; IEVA, F.; PAGANONI, A.M.
A multinomial mixed-effects model with discrete random effects for modelling dependence across response categories
MASSI, M.C.; GASPERONI, F.; IEVA, F.; PAGANONI, A.
Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble
MASSI, M.C.; FRANCO, N.R; IEVA, F.; MANZONI, A.; PAGANONI, A.M.; ZUNINO, P.
High-Order Interaction Learning via Targeted Pattern Search
MASCI, C.; IEVA, F.; PAGANONI A.M.
EM algorithm for semiparametric multinomial mixed-effects models
CANNISTRà,M.; MASCI, C.; IEVA, F.; AGASISTI, T.; PAGANONI, A.M.
Not the magic algorithm: modelling and early-predicting students dropout through machine learning and multilevel approach
PELLAGATTI, M.; MASCI, C.; IEVA, F.; PAGANONI A.M.
Generalized Mixed-Effects Random Forest: a flexible approach to predict university student dropout
MASSI, M.C., GASPERONI, F., IEVA, F., PAGANONI, A.M., ZUNINO, P., MANZONI, A., FRANCO, N.R., ET AL.
A deep learning approach validates genetic risk factors for late toxicity after prostate cancer radiotherapy in a REQUITE multinational cohort
IEVA, F; PAGANONI, A.M.; ROMO, J.; TARABELLONI, N.
roahd Package: Robust Analysis of High Dimensional Data
MARTINO, A.; GUATTERI, G.; PAGANONI, A.M.
hmmhdd Package: Hidden Markov Model for High Dimensional Data
MASSI, M.C.; IEVA, F.; GASPERONI, F.; PAGANONI, A.M.
Minority Class Feature Selection through Semi-Supervised Deep Sparse Autoencoders
MASCI, C.; IEVA, F.; AGASISTI, T.; PAGANONI A.M.
Evaluating class and school effects on the joint achievements in different subjects: a bivariate semi-parametric mixed-effects model
MARTINO, A.; GUATTERI, G.; PAGANONI, A.M.
Hidden Markov Models for multivariate functional data
GASPERONI, F.; IEVA, F.; PAGANONI, A.M.; JACKSON, C.; SHARPLES, L.
Evaluating the effect of healthcare providers on the clinical path of Heart Failure patients through a novel semi-Markov multi-state model
MARTINO, A.; GUATTERI, G.; PAGANONI, A. M.
Multivariate Hidden Markov Models for disease progression
FONTANA, L.; MASCI, C.; IEVA, F.; PAGANONI, A.M.
Performing Learning Analytics via Generalized Mixed-Effects Trees
MASCI, C.; PAGANONI, A.M.; IEVA, F.
Non-parametric mixed-effects models for unsupervised classification of Italian schools
GASPERONI, F.; IEVA, F.; PAGANONI, A.M.; JACKSON C.H.; SHARPLES L.D.
Nonparametric frailty Cox models for hierarchical time-to-event data
MARTINO, A.; GHIGLIETTI, A.; IEVA, F.; PAGANONI, A.M.
A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data
BOTTLE, A.; VENTURA, C.M.; DHARMARAJAN, K.; AYLIN, P.; IEVA, F.; PAGANONI, A.M.
Regional variation in hospitalisation and mortality in heart failure: comparison of England and Lombardy using multistate modelling
GHIGLIETTI, A.; SCARALE, M.G.; MICELI, R.; IEVA, F.; MARIANI, L.; GAVAZZI, C.; PAGANONI, A.M.; EDEFONTI, V.
Urn models for response-adaptive randomized designs: a simulation study based on a non-adaptive randomized trial
MANCINI, L.; PAGANONI, A.M.
Marked Point Process models for the admissions of heart failured patients
TARABELLONI, N.; SCHENONE, E.; COLLIN, A.; IEVA, F.; PAGANONI, A.M.; GERBEAU, J.-F.
Statistical Assessment and Calibration of Numerical ECG Models
IEVA, F.; PAGANONI, A.M.
A taxonomy of outlier detection methods for robust classification in multivariate functional data
GHIGLIETTI, A.; IEVA, F.; PAGANONI, A.M.
Statistical inference for stochastic processes: two sample hypothesis tests
GUGLIELMI, A.; IEVA, F.; PAGANONI, A.M.; QUINTANA, F.A.
A semiparametric Bayesian joint model for multiple mixed-type outcomes: an Application to Acute Myocardial Infarction
AGASISTI,T.; IEVA, F.; MASCI, C.; PAGANONI, A.M.
Does class matter more than school? Evidence from a multilevel statistical analysis on Italian junior secondary school students
MASCI, C,; IEVA, F.; AGASISTI, T.; PAGANONI, A.M.
Bivariate multilevel models for the analysis of mathematics and reading pupils' achievements
GHIGLIETTI, A.; IEVA, F.; PAGANONI, A.M.; ALETTI, G.
On linear regression models in infinite dimensional spaces with scalar response
IEVA, F.; PAGANONI, A.M., PIETRABISSA, T.
Dynamic clustering of hazard functions: an application to disease progression in chronic heart failure
GHIGLIETTI, A.; PAGANONI, A.M.
Statistical inference for functional data based on a generalization of Mahalanobis distance
IEVA, F., PAGANONI, A.M., TARABELLONI, N.
Covariance Based Unsupervised Classification in Functional Data Analysis
AGASISTI, T.; IEVA, F.; PAGANONI, A.M.
Heterogeneity, school-effects and achievement gaps across Italian regions: further evidence from statistical modeling
GHIGLIETTI, A.; PAGANONI, A.M.
An urn model to construct an efficient test procedure for response adaptive designs
BIASI, R.; IEVA, F.; PAGANONI, A.M.; TARABELLONI, N.
Use of depth measure for multivariate functional data in disease prediction: an application to electrocardiographic signals
IEVA, F.; MARRA, G.; PAGANONI, A.M.; RADICE, R.
A semiparametric bivariate probit model for joint modeling of outcomes in STEMI patients
IEVA, F.; PAGANONI, A.M.
Detecting and visualizing outliers in provider profiling via funnel plots and mixed effect models
IEVA, F.; PAGANONI, A.M.
Risk Prediction for Myocardial Infarction via Generalized Functional Regression Models
GHIGLIETTI, A.; PAGANONI, A.M.
Statistical properties of two-color randomly reinforced urn design targeting fixed allocations
IEVA, F.; PAGANONI, A.M.; ZILLER, S.
Operational risk management: a statistical perspective
GUGLIELMI, A.; IEVA, F.; PAGANONI, A.M.; RUGGERI, F.; SORIANO, J.
Semiparametric Bayesian models for clustering and classification in presence of unbalanced in-hospital survival
IEVA, F.; PAGANONI, A. M.; ZANINI, P.
Statistical models for detecting Atrial Fibrillation events
GUGLIELMI, A.; IEVA, F.; PAGANONI, A.M.; RUGGERI, F.
Hospital clustering in the treatment of acute myocardial infarction patients via a Bayesian semiparametric approach
IEVA, F.; PAGANONI, A.M.
Depth Measures For Multivariate Functional Data
ALETTI, G; GHIGLIETTI, A; PAGANONI, A.
A modified randomly reinforced urn design
AZZIMONTI, L.; IEVA, F.; PAGANONI, A.M.
Nonlinear nonparametric mixed-effects models for unsupervised classification
IEVA, F.; PAGANONI, A.M.; SECCHI, P.
Mining Administrative Health Databases for epidemiological purposes: a case study on Acute Myocardial Infarctions diagnoses
IEVA, F.; PAGANONI, A.M.; PIGOLI, D.; VITELLI, V.
Multivariate functional clustering for the analysis of ECG curves morphology
BARALDO, S.; IEVA, F.; PAGANONI, A. M.; VITELLI, V.
Generalized functional linear models for recurrent events: an application to re-admission processes in heart failure patients
IEVA, FRANCESCA; PAGANONI, ANNA MARIA
Designing and mining a multicenter observational clinical registry concerning patients with Acute Coronary Syndromes
GRIECO, NICCOLò; IEVA, FRANCESCA; PAGANONI, ANNA MARIA
Provider Profiling Using Mixed Effects Models on a Case Study concerning STEMI Patients
GUGLIELMI, ALESSANDRA; IEVA, FRANCESCA; PAGANONI, ANNA MARIA; RUGGERI, FABRIZIO
A Bayesian random-effects model for survival probabilities after acute myocardial infarction
IEVA, FRANCESCA; PAGANONI, ANNA MARIA
Multilevel models for clinical registers concerning STEMI patients in a complex urban reality: a statistical analysis of MOMI^2 survey
BARBIERI, P.; GRIECO, N.; IEVA, F.; PAGANONI, A. M.; SECCHI, P.
Exploitation, integration and statistical analysis of Public Health Database and STEMI archive in Lombardia Region
IEVA, FRANCESCA; PAGANONI, ANNA MARIA
A case study on treatment times in patients with ST-Segment Elevation Myocardial Infarction
GRIECO, NICCOLò; CORRADA, ELENA; SESANA, GIOVANNI; FONTANA, GIANCARLO; LOMBARDI, FEDERICO; IEVA, FRANCESCA; PAGANONI, ANNA MARIA; MARZEGALLI, MAURIZIO
Predictors of the reduction of treatment time for ST-segment elevation myocardial infarction in a complex urban reality. The MoMi2 survey
FUMAGALLI, E.; LO SCHIAVO, L.; PAGANONI, A. M.; SECCHI, P.
Statistical analyses of exceptional events: the Italian experience
COLECCHIA, MAURIZIO; NICOLAI, NICOLA; SECCHI, PIERCESARE; BANDIERAMONTE, GAETANO; PAGANONI, ANNA M.; SANGALLI , LAURA M.; PIVA, LUIGI; SALVIONI, ROBERTO
Penile Superficial Squamous cell Carcinoma (SCC) Submitted to CO2 Laser Excision only: Oncologic Outcome of T1 Disease in 25 Years-Long Experience
PAGANONI, ANNA MARIA; SECCHI, PIERCESARE
A numerical study for comparing two response-adaptive designs for continuous treatment effects
MULIERE, PIETRO; PAGANONI, ANNA MARIA; SECCHI, PIERCESARE
A two-color, randomly reinforced urn
PAGANONI, ANNA MARIA; PONTIGGIA, LAURA
Laboratorio informatico di Statistica Matematica su supporto Excel
PAGANONI, ANNA MARIA; SECCHI PIERCESARE
Interacting reinforced urn systems