Anna Maria Paganoni

Full Professor in Statistics, Dip. di Matematica, Politecnico di Milano

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

  • Available MOX Reports
  • Theses
  • Thesis Proposals
  • MOX Projects

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, Niccolê; 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

Author:Bazzarelli, M.
Advisors:Paganoni, A.
A Statistical Analysis for Academic Data Exploitation Concerning Bachelor of Science Degrees in Engineering

Author:Rivolta, Matteo
Advisors:Paganoni, A. Masci, C.
Metodi di imputazione per dati mancanti: applicazione al dataset INVALSI

Author:Cremone, Sante
Advisors:Paganoni, A.
Sistema di business analytics per il monitoraggio della centrale di cogenerazione Gelsia

Author:Mancini, Luca
Advisors:Paganoni, A.m.
Marked point process models for the admissions of heart failured patients

Author:Ventura, Chiara Maria
Advisors:Paganoni, A.m. Ieva, F.
Models for predicting readmissions in heart failure patients: a comparison between Lombardia and England

Author:Indino, Federico Siro
Advisors:Paganoni, A.m. Ieva, F.
Analisi statistica di dati ad alta dimensionalitÃ: una applicazione ai segnali elettrocardiografici

Author:Cotta Ramusino, Jacopo
Advisors:Paganoni, A.m.
Statistical analysis of optical data for tumour diagnosis

Author:Desgranges, Nina Ines Bertille
Advisors:Paganoni, A.m. Ieva, F.
Generalization of the PC algorithm for non-linear and non-Gaussian data and its application to biological data

Author:Giussani, Silvia
Advisors:Paganoni, A. Tarabelloni, N.
Modelli statistici per la previsione del rischio cardiovascolare: analisi di segnali elettrocardiografici

Author:Gasperoni, Francesca
Advisors:Paganoni, A. Ieva, F.
Frailty multi-state models for the analysis of heart failure patients

Author:Tarabelloni Nicholas
Advisors:Paganoni, A.m. Ieva, F.
Metodi numerici e statistici per la simulazione e validazione di ECG

Author:Giani, Emanuele Davide
Advisors:Paganoni, A.m.
Metodi grafici e inferenziali per l identificazione di outliers: il caso del processo di cura di patologie cardiovascolari

Author:Pezzotti, Camilla
Advisors:Paganoni, A.m. Grossetti, F.
Il processo di acquisto: studio del comportamento multicanale di un campione di consumatori

Author:Di Geronimo, Laura
Advisors:Paganoni, A. M. Quinto, G. D.
Strumenti di business intelligence per la gestione delle performance aziendali

Author:Barbisotti, Fabio
Advisors:Paganoni, A.m.
Regressione percentilica: teoria e applicazioni

Author:Ieva, Francesca
Advisors:Paganoni, A.m.
Statistical methods for classification in cardiovascular healthcare

Author:Ziller, Stefano
Advisors:Paganoni, A.m.
Modelli statistici per la gestione dei rischi operativi

Author:Vayno, Lorenzo
Advisors:Paganoni, A.m. Ballerio, S.
Text mining: riconoscimento di elementi diagnostici in lettere di dimissione ospedaliera

Author:Ghiglietti, Andrea
Advisors:Paganoni, A.m.
Modelli d'urna per il disegno adattivo di esperimenti clinici

Author:Zanini, Paolo
Advisors:Paganoni, A.m. Ieva, F. Vitelli, V.
Modelli statistici per lo studio della Fibrillazione Atriale

Author:Giani, Emanuele Davide
Advisors:Paganoni, A.m.
Test unione-intersezione e test di permutazione: teoria e applicazioni

Author:Zambelli, F.
Advisors:Nobile, F. Paganoni, A.
Tecniche MCMC avanzate applicate alla regressione logistica

Author:Azzimonti, Laura
Advisors:Paganoni, A.m. De Lalla, C. Sangalli, L.
Modelli a effetti misti: teoria e applicazioni a dati longitudinali in ambito biologico

Author:Baraldo, Stefano
Advisors:Paganoni, A.m.
Modelli statistici per processi di conteggio. Teoria e applicazioni nella telesorveglianza cardiologica.

Author:Medici, Sabrina
Advisors:Paganoni, A.m. Candela, G.
L impiego dei test d ipotesi nell ambito della metodologia Lean Six Sigma

Author:Cremaschi, Andrea ; Ziller, Stefano
Advisors:Paganoni, A. M. Ieva, F.
Il problema del record linkage tra dataset: un approccio probabilistico

Author:Vitelli, Valeria
Advisors:Secchi, P. Paganoni, A.m.
Analisi dei punti principali per distribuzioni infinito dimensionali: teoria e applicazioni

Author:Cassarini, Giovanni
Advisors:Paganoni, A.m.
Disegni sperimentali adattivi per studi clinici: modelli d urna a rinforzo aleatorio modificato

Author:Colombo, Marta
Advisors:Paganoni, A.m.
I modelli di Rasch nell analisi della customer satisfaction: studio di un caso

Author:Ieva, Francesca
Advisors:Paganoni, A.m. Sesana, G.
Modelli statistici per lo studio dei tempi di intervento nell infarto miocardico acuto

Author:Mauri, Francesco ; Rezzonico, Luca
Advisors:Paganoni, A.m.
Modelli adattivi negli studi clinici: analisi di un caso reale

Author:Zanini, Paolo
Advisors:Paganoni, A.m.
L incidente dello Space Shuttle: un indagine statistica

Author:Milani, Filippo
Advisors:Paganoni, A.m.
Analisi esplorativa dei dati: differenti metodi di rappresentazione grafica a confronto

Author:Azzimonti, L.; Baraldo, S.
Advisors:Paganoni, A.m.
Sistemi di urne interagenti e teoria dei valori estremi applicati alla modellizzazione della crescita tumorale: teoria e simulazioni

Author:Cilento, Armando
Advisors:Bonaventura, L. Paganoni, A.m.
Metodi di interpolazione geostatistica per dati categorici: teoria e simulazioni

Author:Maccaferri, Sara
Advisors:Paganoni, Anna Maria
I test di permutazione e i linear rank tests: teoria ed esempi in ambito parametrico e non parametrico

Author:Pedrina, Valeria
Advisors:Paganoni, Anna Maria
Tecniche di randomizzazione negli studi clinici

Author:Ieva, Francesca; Martinelli, Gabriele
Advisors:Paganoni, Anna Maria
Modelli stocastici e deterministici per la crescita tumorale: teoria e simulazione

Author:Vitelli, Valeria
Advisors:Paganoni, Anna Maria
Disegni sperimentali adattivi alla risposta nella ricerca clinica

Author:Dell Acqua, Silvia
Advisors:Conti, Monica; Paganoni, Anna Maria
Un modello matematico per la cronochemioterapia: teoria e simulazione

Author:Di Bernardo, Maria Chiara
Advisors:Paganoni, Anna Maria
Metodi statistici per la meta-analisi

Author:Campagnoli C.
Advisors:Prof. Anna Maria Paganoni
Analisi della qualità di dati relativi alla perforazione di pozzi petroliferi

Author:Fornoni, P.
Advisors:Paganoni, A.

Carte di controllo multivariate per ottimizzazione di processi industriali

La tesi vuole rispondere ad una domanda di ricerca posta dalla ditta GEWISS che si occupa di stampa ad iniezione. Il problema riguarda lo studio di alcune variabili che entrano in gioco nel processo al fine di ottimizzare congiuntamente la produzione. Tale attività di tesi prevede una stretta sinergia lavorativa con tale azienda. La tesi si inserisce nella linea di ricerca su . Il lavoro, pensato per una persona, ha un contenuto modellistico medio, un contenuto teorico medio e un contenuto di programmazione elevato. Complessivamente si tratta di una tesi di media difficoltà. Si consiglia di consultare la seguente bibliografia essenziale: I requisiti richiesti al laureando sono: Corsi del percorso Applied Statistics

Farb - Health And Education Systems Assessment,Politecnico Di Milano
The core interest of this project is in improving the quality of health and educational services at local, regional and national levels, through a program of applied research and close involvement with the Italian Ministry of Health, the Italian Institute for the Evaluation of Educational Systems (Invalsi) and other healthcare/educational organizations and institutions. Studying and monitoring outcomes and process indicators in healthcare and educational processes allow decision makers to improve the system performances with an optimized resource allocation; indeed, decision-makers involved in public administration (health/education) need information about efficiency and effectiveness of provided services. In this project, we propose an innovative knowledge discovery model that takes advantage by the massive use of administrative data that have been collected only with storage and control purposes. Administrative datasets are naturally updated, complete and available with a lower cost with respect to ad-hoc data collections. Even if their use has been questioned, the recent statistical literature points out that the risks of biased results can be minimized with suitable statistical and reporting techniques. Conditionally to a field of interest (pathology or pattern of care for health care students' achievement for education) a main outcome jointly with possibly quite secondary ones, are pointed out. To improve the outcomes is mandatory to understand the variables correlated, and eventually their causal impact on them. Specifically the variability affecting outcomes can be decomposed in many different sources. Due to the natural hierarchical structure of data (patients within divisions, divisions within hospitals, pupils within classes, classes within schools, ) they are affected by over-dispersion that can be catched and modeled by means of statistical mixed effect models. Despite the relevance of such research, funding is at moment very problematic. Public decision-makers need to see first results before committing in this direction. Private funding (e.g. biomedical companies interested to follow-up their technologies) need a commitment from the regional/national Institutions that allow them to proceed in this direction. Within this background, we think that FARB funding is a tremendous opportunity to seed this new research stream and create the first results useful to create the conditions for a next public and private funding context. The main objects of the project are then i) identification and study of the outcomes and process indicators for the problem of interest, ii) monitoring and analysis of these parameters, iii) supporting decisions in order to improve the process, iv) checking of the change effectiveness, or at least implementing a method for this and testing it; v) increasing the present awareness about the value of opening and using administrative databases for informing decision-making and promote both the public and the private funding of further researches in this direction. Within this background, during the three year FARB project we will start working in two specific contexts: a) the healthcare process for patients affected by heart failure, b) educational attainments of students at grades 2, 5 (primary education), 6 and 8 (lower secondary schooling). In both the cases, we have already been authorized to use the related administrative databases for this research.

Heart,Azienda Ospedaliera Niguarda Cà Granda
Utilization of regional health services databases for evaluating epidemiology, short-and medium-term out come, and process indexes in patients hospitalized for heart failure

Farb: Diffuse Interface Tumor-growth Models,Politecnico Di Milano

Data-centric Genomic Computing (gendata 2020),National Project Prin 2010-2011 (politecnico Coordinator: A.

H.a.l.,Associazione Onlus Emofilici E Thalassemici ''vincenzo Russo
Statistica per studio di ricerca sperimentale - Adattamento culturale Scala di valutazione Haemophilia Activity List

Programma Strategico,Ministero Della Salute, Regione Lombardia
Exploitation, integration and study of current and future health databases in Lombardia for Acute Coronary Sindromes

Cytokines,Ospedale San Raffaele - Milano
Evaluation of the expression of cyto-chemokine profiles

Momi,Aceu - Area Coordinamento Emergenza Urgenza - Milano
Analisi statistica dei dati del progetto MOMI

Aeeg 2007,Autorita' Per L'energia Elettrica E Il Gas
Statistical models for quality regulation of electricity distribution in the III italian regulatory period

Fincantieri,Fincantieri - Cantieri Navali Italiani S.p.a.
Statistical analysis of the Collision Database

Cam,Cam Tecnologie S.p.a.
A statistic study of data about pollutant emissions of trucks. Work in collaboration with ENI Tecnologie

Omega,Omega 3c S.r.l.