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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the lecturer, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information
LecturerPaganoni Anna Maria
QualificationFull professor full time
Belonging DepartmentDipartimento di Matematica
Scientific-Disciplinary SectorSTAT-01/A - Statistics
Curriculum VitaeDownload CV (178.37Kb - 01/12/2022)
OrcIDhttps://orcid.org/0000-0002-8253-3630

Contacts
Office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Matematica------ThursdayFrom 11:30
To 13:30
4574------
E-mailanna.paganoni@polimi.it
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 2025 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Journal Articles
A Statistical Significance-Based Approach for Clustering Grouped Data via Generalized Linear Model with Discrete Random Effects (Show >>)
Comments on: exploratory functional data analysis (Show >>)
Data analytics for real-world data integration in TKI-treated NSCLC patients using electronic health records (Show >>)


List of publications and reserach products for the year 2024 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
Analysis of Higher Education Dropouts Dynamics Through Functional Decomposition of Recurrent Events on Time-to-Event Processes (Show >>)
Journal Articles
A Spearman dependence matrix for multivariate functional data (Show >>)
Inferential Tools for Assessing Dependence Across Response Categories in Multinomial Models with Discrete Random Effects (Show >>)
Urban mobility and learning: analyzing the influence of commuting time on students' GPA at Politecnico di Milano (Show >>)


List of publications and reserach products for the year 2023 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A novel statistical-significance based semi-parametric GLMM for clustering countries standing on their innumeracy levels (Show >>)
Journal Articles
Integrated Depths for Partially Observed Functional Data (Show >>)
Learning high-order interactions for polygenic risk prediction (Show >>)


List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
A neural network approach to survival analysis with time-dependent covariates for modelling time to cardiovascular diseases (Show >>)
Multinomial Multilevel Models with Discrete Random Effects: a Multivariate Clustering Tool (Show >>)
Semi-parametric generalized linear mixed effects models for binary response for the analysis of heart failure hospitalizations (Show >>)
Journal Articles
Early-predicting dropout of university students: an application of innovative multilevel machine learning and statistical techniques (Show >>)
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
How Much Tutoring Activities May Improve Academic Careers of At-Risk Students? An Evaluation Study (Show >>)
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 >>)
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 >>)
manifesti v. 3.9.3 / 3.9.3
Area Servizi ICT
30/04/2025