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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
ProfessorIeva Francesca
QualificationAssociate professor full time
Belonging DepartmentDipartimento di Matematica
Scientific-Disciplinary SectorSECS-S/01 - Statistics
Curriculum VitaeDownload CV (397.0Kb - 11/09/2021)

Professor's office hours
Matematica6626WednesdayFrom 13:45
To 15:15
02.2399.4578--The scheduling of appointments by e-mail is mandatory.
Professor's personal websitehttps://sites.google.com/view/francesca-ieva/home

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
Conference proceedings
Optimal timing of bone-marrow transplant in myelodysplastic syndromes through multi-state modeling and microsimulation (Show >>)
Personalised effect of discontinuing treatment in heart failure patients through multi-state modeling (Show >>)
Journal Articles
A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events (Show >>)
Modelling time-varying covariates effect on survival via functional data analysis: application to the MRC BO06 trial in osteosarcoma (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
A Functional Data Analysis Approach to Left Ventricular Remodeling Assessment (Show >>)
Cross-Subject EEG Channel Selection for the Detection of Predisposition to Alcoholism (Show >>)
Functional representation of potassium trajectories for dynamic monitoring of Heart Failure patients (Show >>)
Interpretability and interaction learning for logistic regression models (Show >>)
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification (Show >>)
Modelling longitudinal latent toxicity profiles evolution in osteosarcoma patients (Show >>)
Multinomial semiparametric mixed-effects model for profiling engineering university students (Show >>)
Quantitative depth-based [18F]FMCH-avid lesion profiling in prostate cancer treatment (Show >>)
Recurrence-specific supervised graph clustering for subtyping Hodgkin Lymphoma radiomic phenotypes (Show >>)
Virtual biopsy in action: a radiomic-based model for CALI prediction (Show >>)
Journal Articles
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity (Show >>)
Dynamic monitoring of the effects of adherence to medication on survival in Heart Failure patients: a joint modelling approach exploiting time-varying covariates (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 >>)
Functional modeling of recurrent events on time‐to‐event processes (Show >>)
Generalized mixed‐effects random forest: A flexible approach to predict university student dropout (Show >>)
Novel longitudinal Multiple Overall Toxicity (MOTox) score to quantify adverse events experienced by patients during chemotherapy treatment: a retrospective analysis of the MRC BO06 trial in osteosarcoma (Show >>)
Performing Learning Analytics via Generalised Mixed-Effects Trees (Show >>)
Virtual Biopsy for Diagnosis of Chemotherapy-Associated Liver Injuries and Steatohepatitis: A Combined Radiomic and Clinical Model in Patients with Colorectal Liver Metastases (Show >>)
[18F]FMCH PET/CT biomarkers and similarity analysis to refine the definition of oligometastatic prostate cancer (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
Modeling the Effect of Recurrent Events on Time-to-event Processes by Means of Functional Data (Show >>)
Proton-Pump Inhibitor Provider Profiling via Funnel Plots and Poisson Regression (Show >>)
Conference proceedings
A functional approach to study the relationship between dynamic covariates and survival outcomes: an application to a randomized clinical trial on osteosarcoma (Show >>)
Generalized Mixed Effects Random Forest: does Machine Learning help in predicting university student dropout? (Show >>)
Impact of time-dependent medication adherence on Heart Failure patients using a joint modelling framework (Show >>)
Including dynamic covariates in survival models via Functional Data Analysis: an application to osteosarcoma (Show >>)
Modeling the effect of dynamic covariates on time-to-event processes via Functional Data Analysis (Show >>)
PET radiomics-based lesions representation in Hodgkin lymphoma patients (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 >>)
Adherence to Disease-Modifying Therapy in Patients Hospitalized for HF: Findings from a Community-Based Study (Show >>)
Component-wise outlier detection methods for robustifying multivariate functional samples (Show >>)
Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases (Show >>)
Evaluating the effect of healthcare providers on the clinical path of heart failure patients through a semi-Markov, multi-state model (Show >>)
Joint modelling of recurrent events and survival: a Bayesian nonparametric approach (Show >>)
Methodological framework for radiomics applications in Hodgkin’s lymphoma (Show >>)
Non-parametric frailty Cox models for hierarchical time-to-event data (Show >>)
Number of lung resections performed and long-term mortality rates of patients after lung cancer surgery: evidence from an Italian investigation (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 >>)
Abstract in Atti di convegno
Data Mining Application to Healthcare Fraud Detection: Two-Step Unsupervised Clustering Method for Outlier Detection with Administrative Databases (Show >>)
Investigating the role of proteinuria in renal disease: A real-world clinical case study (Show >>)
Conference proceedings
Are Real World Data the smart way of doing Health Analytics? (Show >>)
Classification of Italian classes via bivariate semiparametric multilevel models (Show >>)
Hospital effect on 3-years-survival in patients undergone to lung tumor surgery: a real-world study. (Show >>)
Joint Models: a smart way to include functional data in healthcare analytics (Show >>)
Journal Articles
A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data (Show >>)
Adherence to recommendations and clinical outcomes of patients hospitalized for stroke: the role of the admission ward - a real-life investigation from Italy (Show >>)
Comparing methods for comparing networks (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 >>)
Investigating the effect of drugs consumption on survival outcome of Heart Failure patients using joint models: a case study based on regional administrative data. (Show >>)
Multi-State model with nonparametric discrete frailty. (Show >>)
Optical Quantification of Collagen and Breast Cancer: Lesion Classification and Risk Estimate (Show >>)
Target dosages and adherence to PolyPharmacy therapy: a case study based on a regional real-world HF community (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 >>)
Network analysis of comorbidity patterns in Heart Failure patients using administrative data. (Show >>)
Regional variation in hospitalisation and mortality in heart failure: comparison of England and Lombardy using multistate modelling (Show >>)
Statistical Medical Fraud Assessment: Exposition to an Emerging Field (Show >>)
Urn models for response-adaptive randomized designs: a simulation study based on a nonadaptive randomized trial (Show >>)
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