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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the professor, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information on professor
ProfessorPaganoni Anna Maria
QualificationFull professor full time
Belonging DepartmentDipartimento di Matematica
Scientific-Disciplinary SectorSECS-S/01 - Statistics
Curriculum VitaeDownload CV (687.54Kb - 16/01/2020)
OrcIDhttps://orcid.org/0000-0002-8253-3630

Contacts
Professor's office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Matematica----ThursdayFrom 11:30
To 13:30
4574----
E-mailanna.paganoni@polimi.it
Professor's personal websitehttps://www.mate.polimi.it/?view=pp&id=65&lg=it#ann

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
Semiparametric Multinomial Mixed-Effects Models: a University Student Profiling Tool (Show >>)


List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Rivista
PH-0656 Prediction of toxicity after prostate cancer RT: the value of a SNP-interaction polygenic risk score (Show >>)
Conference proceedings
Interpretability and interaction learning for logistic regression models (Show >>)
Multinomial semiparametric mixed-effects model for profiling engineering university students (Show >>)
Journal Articles
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity (Show >>)
Early-predicting dropout of university students: an application of innovative multilevel machine learning and statistical techniques (Show >>)
Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients (Show >>)
Feature selection for imbalanced data with deep sparse autoencoders ensemble (Show >>)
Generalized mixed‐effects random forest: A flexible approach to predict university student dropout (Show >>)
Performing Learning Analytics via Generalised Mixed-Effects Trees (Show >>)
Stability over time of the “hospital effect” on 30-day unplanned readmissions: Evidence from administrative data (Show >>)
Treatment prescription, adherence, and persistence after the first hospitalization for heart failure: A population-based retrospective study on 100785 patients (Show >>)


List of publications and reserach products for the year 2020 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Atti di convegno
Deep Sparse Autoencoder-based Feature Selection for SNPs validation in Prostate Cancer Radiogenomics (Show >>)
Contributions on scientific books
Proton-Pump Inhibitor Provider Profiling via Funnel Plots and Poisson Regression (Show >>)
Conference proceedings
Generalized Mixed Effects Random Forest: does Machine Learning help in predicting university student dropout? (Show >>)
Prediction of late radiotherapy toxicity in prostate cancer patients via joint analysis of SNPs sequences (Show >>)
Scientific Books
Eserciziario di Statistica Inferenziale (Show >>)
Journal Articles
A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort (Show >>)
Component-wise outlier detection methods for robustifying multivariate functional samples (Show >>)
Evaluating the effect of healthcare providers on the clinical path of heart failure patients through a semi-Markov, multi-state model (Show >>)
Hidden Markov Models for multivariate functional data (Show >>)
Multivariate Hidden Markov Models for disease progression (Show >>)
Non-parametric frailty Cox models for hierarchical time-to-event data (Show >>)
The Leydig cell tumor Scaled Score (LeSS) A method to distinguish benign from malignant cases, with additional correlation with MDM2 and CDK4 amplification (Show >>)


List of publications and reserach products for the year 2019 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Traduzione di libro
Statistica Medica (Show >>)
Conference proceedings
Classification of Italian classes via bivariate semiparametric multilevel models (Show >>)
Data-driven tool for monitoring of students performance (Show >>)
Journal Articles
A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data (Show >>)
Impact of in-hospital cardiac rehabilitation on mortality and readmissions in heart failure: A population study in Lombardy, Italy, from 2005 to 2012 (Show >>)
Marked point process models for the admissions of heart failure patients (Show >>)
Semiparametric mixed-effects models for unsupervised classification of Italian schools (Show >>)
roahd Package: Robust Analysis of High Dimensional Data (Show >>)


List of publications and reserach products for the year 2018 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A simulation study on the use of response-adaptive randomized designs. (Show >>)
Analysis of dropout in engineering BSc using logistic mixed-effect models. (Show >>)
Hidden Markov Models for disease progression. (Show >>)
Multi-State model with nonparametric discrete frailty. (Show >>)
Optical Quantification of Collagen and Breast Cancer: Lesion Classification and Risk Estimate (Show >>)
Speet: Visual data analysis of engineering students performance from academic Data? (Show >>)
Unsupervised clustering of Italian schools via non-parametric multilevel models. (Show >>)
Journal Articles
A multi-state approach to patients affected by chronic heart failure (Show >>)
A semiparametric Bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction (Show >>)
Immunomodulatory drugs in the context of autologous hematopoietic stem cell transplantation associate with reduced pro-tumor T cell subsets in multiple myeloma (Show >>)
Regional variation in hospitalisation and mortality in heart failure: comparison of England and Lombardy using multistate modelling (Show >>)
STATISTICAL ASSESSMENT AND CALIBRATION OF NUMERICAL ECG MODELS (Show >>)
Serum human epididymis protein 4 vs. carbohydrate antigen 125 in ovarian cancer follow-up (Show >>)
Urn models for response-adaptive randomized designs: a simulation study based on a nonadaptive randomized trial (Show >>)
Vector boson scattering: Recent experimental and theory developments (Show >>)
manifesti v. 3.4.23 / 3.4.23
Area Servizi ICT
27/05/2022