Sfoglia per Autore
Inferential Tools for Assessing Dependence Across Response Categories in Multinomial Models with Discrete Random Effects
2024-01-01 Masci, C.; Ieva, F.; Paganoni, A. M.
Clustering Italian medical texts: a case study on referrals
2023-01-01 Torri, V.; Ercolanoni, M.; Bortolan, F.; Leoni, O.; Ieva, F.
The FDA contribution to Health Data Science
2023-01-01 Ieva, Francesca
Learning high-order interactions for polygenic risk prediction
2023-01-01 Massi, M. C.; Franco, N. R.; Manzoni, A.; Paganoni, A. M.; Park, H. A.; Hoffmeister, M.; Brenner, H.; Chang-Claude, J.; Ieva, F.; Zunino, P.
The impact of public transport on the diffusion of COVID-19 pandemic in Lombardy during 2020
2023-01-01 Ieva, Francesca; Galliani, Greta; Secchi, Piercesare
Ask Your Data - Supporting Data Science Processes by Combining AutoML and Conversational Interfaces
2023-01-01 Pido’, Sara; Pinoli, Pietro; Crovari, Pietro; Ieva, Francesca; Garzotto, Franca; Ceri, Stefano
Dual adversarial deconfounding autoencoder for joint batch-effects removal from multi-center and multi-scanner radiomics data
2023-01-01 Cavinato, Lara; Massi, Michela Carlotta; Sollini, Martina; Kirienko, Margarita; Ieva, Francesca
Explainable domain transfer of distant supervised cancer subtyping model via imaging-based rules extraction
2023-01-01 Cavinato, Lara; Gozzi, Noemi; Sollini, Martina; Kirienko, Margarita; Carlo-Stella, Carmelo; Rusconi, Chiara; Chiti, Arturo; Ieva, Francesca
Polimi at CLinkaRT: a Conditional Random Field vs a BERT-based approach
2023-01-01 Torri, V.; Ieva, F.
Radiomics-Based Inter-Lesion Relation Network to Describe [18F]FMCH PET/CT Imaging Phenotypes in Prostate Cancer
2023-01-01 Cavinato, L.; Sollini, M.; Ragni, A.; Bartoli, F.; Zanca, R.; Pasqualetti, F.; Marciano, A.; Ieva, F.; Erba, P. A.
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation
2023-01-01 Cappozzo, Andrea; Ieva, Francesca; Fiorito, Giovanni
A tissue-aware simulation framework for [18F]FLT spatiotemporal uptake in pancreatic ductal adenocarcinoma
2023-01-01 Cavinato, Lara; Hong, Jimin; Reinhard, Stefan; Wartenberg, Martin; Zunino, Paolo; Manzoni, Andrea; Ieva, Francesca; Shi, Kuangyu
A novel statistical-significance based semi-parametric GLMM for clustering countries standing on their innumeracy levels
2023-01-01 Ragni, A.; Masci, C.; Ieva, F.; Paganoni, A. M.
Detecting early signals of COVID-19 outbreaks in 2020 in small areas by monitoring healthcare utilisation databases: first lessons learned from the Italian Alert_CoV project
2023-01-01 Merlo, I.; Crea, M.; Berta, P.; Ieva, F.; Carle, F.; Rea, F.; Porcu, G.; Savare, L.; De Maio, R.; Villa, M.; Cereda, D.; Leoni, O.; Bortolan, F.; Sechi, G. M.; Bella, A.; Pezzotti, P.; Brusaferro, S.; Blangiardo, G. C.; Fedeli, M.; Corrao, G.
Mapping Tumor Heterogeneity via Local Entropy Assessment: Making Biomarkers Visible
2023-01-01 Costa, Guido; Cavinato, Lara; Fiz, Francesco; Sollini, Martina; Chiti, Arturo; Torzilli, Guido; Ieva, Francesca; Viganò, Luca
Scaling survival analysis in healthcare with federated survival forests: A comparative study on heart failure and breast cancer genomics
2023-01-01 Archetti, A.; Ieva, F.; Matteucci, M.
Risk Narratives on Immigration During the COVID-19 Crisis in Italy: A Comparative Analysis of Facebook Posts Published by Politicians and by News media
2023-01-01 Serafini, Luca; Gottlob, Anita; Pierri, Francesco; Ieva, Francesca; Ceri, Stefano
Mixed-effects high-dimensional multivariate regression via group-lasso regularization
2022-01-01 Cappozzo, A.; Ieva, F.; Fiorito, G.
Semi-parametric generalized linear mixed effects models for binary response for the analysis of heart failure hospitalizations
2022-01-01 Ragni, A.; Masci, C.; Ieva, F.; Paganoni, A. M.
AWavelet-mixed Effect Landmark Model for the Effect of Potassium and Biomarkers Profiles on Survival in Heart Failure Patients
2022-01-01 Gregorio, C.; Barbati, G.; Ieva, F.
A neural network approach to survival analysis with time-dependent covariates for modelling time to cardiovascular diseases
2022-01-01 Corso, F.; Lurani Cernuschi, A.; Galli, L.; Masci, C.; Muccini, C.; Paganoni, A. M.; Ieva, F.
Multinomial Multilevel Models with Discrete Random Effects: a Multivariate Clustering Tool
2022-01-01 Masci, C.; Ieva, F.; Paganoni, A. M.
Semiparametric Multinomial Mixed-Effects Models: a University Student Profiling Tool
2022-01-01 Masci, C.; Ieva, F.; Paganoni, A. M.
Optimal timing of bone-marrow transplant in myelodysplastic syndromes through multi-state modeling and microsimulation
2022-01-01 Gregorio, C.; Spreafico, M.; Ieva, F.
Personalised effect of discontinuing treatment in heart failure patients through multi-state modeling
2022-01-01 Gregorio, C.; Barbati, G.; Ieva, F.
Modelling time-varying covariates effect on survival via functional data analysis: application to the MRC BO06 trial in osteosarcoma
2022-01-01 Spreafico, Marta; Ieva, Francesca; Fiocco, Marta
Distant supervision for imaging-based cancer sub-typing in Intrahepatic Cholangiocarcinoma
2022-01-01 Savino, M S; Cavinato, L; Costa, G; Fiz, F; Torzilli, G; Vigano, L; Ieva, F
Imaging-based representation and stratification of intra-tumor heterogeneity via tree-edit distance
2022-01-01 Cavinato, L.; Pegoraro, M.; Ragni, A.; Sollini, M.; Erba, P. A.; Ieva, F.
Oligoscore: a clinical score to predict overall survival in patients with oligometastatic disease treated with stereotactic body radiotherapy
2022-01-01 Franceschini, Davide; Polenghi, Vanessa; Franzese, Ciro; Comito, Tiziana; Navarria, Pierina; D'Agostino, Giuseppe R; Ieva, Francesca; Scorsetti, Marta
PET/CT‑based radiomics of mass‑forming intrahepatic cholangiocarcinoma improves prediction of pathology data and survival
2022-01-01 Fiz, F.; Masci, C.; Costa, G.; Sollini, M.; Chiti, A.; Ieva, F.; Torzilli, G.; Viganò, L.
A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events
2022-01-01 Cappozzo, Andrea; Mccrory, Cathal; Robinson, Oliver; Freni Sterrantino, Anna; Sacerdote, Carlotta; Krogh, Vittorio; Panico, Salvatore; Tumino, Rosario; Iacoviello, Licia; Ricceri, Fulvio; Sieri, Sabina; Chiodini, Paolo; Mckay, Gareth J.; Mcknight, Amy Jayne; Kee, Frank; Young, Ian S.; Mcguinness, Bernadette; Crimmins, Eileen M.; Arpawong, Thalida Em; Kenny, Rose Anne; O’Halloran, Aisling; Polidoro, Silvia; Solinas, Giuliana; Vineis, Paolo; Ieva, Francesca; Fiorito, Giovanni
A Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: An application to breast cancer time to diagnosis
2022-01-01 Massi, Michela Carlotta; Dominoni, Lorenzo; Ieva, Francesca; Fiorito, Giovanni
Quantitative depth-based [18F]FMCH-avid lesion profiling in prostate cancer treatment
2021-01-01 Cavinato, Lara; Ragni, Alessandra; Ieva, Francesca; Sollini, Martina; Bartoli, Francesco; Erba, Paola Anna
Functional representation of potassium trajectories for dynamic monitoring of Heart Failure patients
2021-01-01 Gregorio, C.; Barbati, G.; Ieva, F.
Interpretability and interaction learning for logistic regression models
2021-01-01 Franco, N. R.; Massi, M. C.; Ieva, F.; Paganoni, A. M.
Cross-Subject EEG Channel Selection for the Detection of Predisposition to Alcoholism
2021-01-01 Massi, M.; Ieva, F.
Virtual biopsy in action: a radiomic-based model for CALI prediction
2021-01-01 Ieva, Francesca; Baroni, Giulia; Cavinato, Lara; Masci, Chiara; Costa, Guido; Fiz, Francesco; Chiti, Arturo; Viganò, Luca
Performing Learning Analytics via Generalised Mixed-Effects Trees
2021-01-01 Fontana, L.; Masci, C.; Ieva, F.; Paganoni, A. M.
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification
2021-01-01 Massi, Michela C.; Ieva, Francesca
Feature selection for imbalanced data with deep sparse autoencoders ensemble
2021-01-01 Massi, Michela Carlotta; Gasperoni, Francesca; Ieva, Francesca; Paganoni, Anna Maria
[18F]FMCH PET/CT biomarkers and similarity analysis to refine the definition of oligometastatic prostate cancer
2021-01-01 Sollini, Martina; Bartoli, Francesco; Cavinato, Lara; Ieva, Francesca; Ragni, Alessandra; Marciano, Andrea; Zanca, Roberta; Galli, Luca; Paiar, Fabiola; Pasqualetti, Francesco; Erba, Paola Anna
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
2021-01-01 Spreafico, M.; Ieva, F.; Arlati, F.; Capello, F.; Fatone, F.; Fedeli, F.; Genalti, G.; Anninga, J.; Gelderblom, H.; Fiocco, M.
Modelling longitudinal latent toxicity profiles evolution in osteosarcoma patients
2021-01-01 Spreafico, M.; Ieva, F.; Fiocco, M.
Recurrence-specific supervised graph clustering for subtyping Hodgkin Lymphoma radiomic phenotypes
2021-01-01 Cavinato, L; Gozzi, N; Sollini, M; Carlo-Stella, C; Chiti, A; Ieva, F
A Functional Data Analysis Approach to Left Ventricular Remodeling Assessment
2021-01-01 Clementi, Letizia; Gregorio, Caterina; Savare, Laura; Ieva, Francesca; Santambrogio, M. D.; Sangalli, L. M.
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity
2021-01-01 Franco, Nicola Rares; Massi, Michela Carlotta; Ieva, Francesca; Manzoni, Andrea; Paganoni, Anna Maria; Zunino, Paolo; Veldeman, Liv; Ost, Piet; Fonteyne, Valérie; Talbot, Christopher J; Rattay, Tim; Webb, Adam; Johnson, Kerstie; Lambrecht, Maarten; Haustermans, Karin; De Meerleer, Gert; de Ruysscher, Dirk; Vanneste, Ben; Van Limbergen, Evert; Choudhury, Ananya; Elliott, Rebecca M; Sperk, Elena; Veldwijk, Marlon; Herskind, Carsten; Avuzzi, Barbara; Noris Chiorda, Barbara; Valdagni, Riccardo; Azria, David; Farcy-Jacquet, Marie-Pierre; Brengues, Muriel; Rosenstein, Barry S; Stock, Richard G; Vega, Ana; Elías Aguado-Barrera, Miguel; Sosa-Fajardo, Paloma; Dunning, Alison M; Fachal, Laura; Kerns, Sarah L; Payne, Debbie; Chang-Claude, Jenny; Seibold, Petra; Ml West, Catharine; Rancati, Tiziana
Early-predicting dropout of university students: an application of innovative multilevel machine learning and statistical techniques
2021-01-01 Cannistrà, M.; Masci, C.; Ieva, F.; Paganoni, A. M.; Agasisti, T.
Dynamic monitoring of the effects of adherence to medication on survival in Heart Failure patients: a joint modelling approach exploiting time-varying covariates
2021-01-01 Spreafico, M.; Ieva, F.
PH-0656 Prediction of toxicity after prostate cancer RT: the value of a SNP-interaction polygenic risk score
2021-01-01 Rancati, T.; Massi, M.; Franco, N.; Avuzzi, B.; Azria, D.; Choudhury, A.; Cicchetti, A.; Dirk, D. R.; Dunning, A.; Elliott, R.; Ieva, F.; Kerns, S.; Lambrecht, M.; Manzoni, A.; Paganoni, A.; Rosenstein, B.; Seibold, P.; Sperk, E.; Talbot, C.; Vega, A.; Veldeman, L.; Zunino, P.; Webb, A.; Chang-Claude, J.; West, C.
Multinomial semiparametric mixed-effects model for profiling engineering university students
2021-01-01 Masci, C.; Ieva, F.; Paganoni, A. M.
Functional modeling of recurrent events on time‐to‐event processes
2021-01-01 Spreafico, M.; Ieva, F.
Evaluating class and school effects on the joint student achievements in different subjects: a bivariate semiparametric model with random coefficients
2021-01-01 Masci, C.; Ieva, F.; Agasisti, T.; Paganoni, A. M.
Virtual Biopsy for Diagnosis of Chemotherapy-Associated Liver Injuries and Steatohepatitis: A Combined Radiomic and Clinical Model in Patients with Colorectal Liver Metastases
2021-01-01 Costa, Guido; Cavinato, Lara; Masci, Chiara; Fiz, Francesco; Sollini, Martina; Politi, Letterio Salvatore; Chiti, Arturo; Balzarini, Luca; Aghemo, Alessio; di Tommaso, Luca; Ieva, Francesca; Torzilli, Guido; Viganò, Luca
Chemotherapy-Associated Liver Injuries: Unmet Needs and New Insights for Surgical Oncologists
2021-01-01 Vigano, Luca; Sollini, Martina; Ieva, Francesca; Fiz, Francesco; Torzilli, Guido
Generalized mixed-effects random forest: A flexible approach to predict university student dropout
2021-01-01 Pellagatti, Massimo; Masci, Chiara; Ieva, Francesca; Paganoni, Anna M.
Impact of time-dependent medication adherence on Heart Failure patients using a joint modelling framework
2020-01-01 Spreafico, M.; Ieva, F.
Including dynamic covariates in survival models via Functional Data Analysis: an application to osteosarcoma
2020-01-01 Spreafico, M.; Ieva, F.; Fiocco, M.
Generalized Mixed Effects Random Forest: does Machine Learning help in predicting university student dropout?
2020-01-01 Pellagatti, M.; Masci, C.; Ieva, F.; Paganoni, A. M.
PET radiomics-based lesions representation in Hodgkin lymphoma patients
2020-01-01 Cavinato, Lara.; Sollini, Martina.; Kirienko, Margarita.; Biroli, Matteo.; Ricci, Francesca.; Calderoni, Letizia.; Tabacchi, Elena.; Nanni, Cristina.; Zinzani, Pier Luigi.; Fanti, Stefano.; Guidetti, Anna.; Alessi, Alessandra.; Corradini, Paolo.; Seregni, Ettore.; Carlo-Stella, Carmelo.; Chiti, Arturo.; Ieva, Francesca
A functional approach to study the relationship between dynamic covariates and survival outcomes: an application to a randomized clinical trial on osteosarcoma
2020-01-01 Spreafico, M.; Ieva, F.; Fiocco, M.
Modeling the effect of dynamic covariates on time-to-event processes via Functional Data Analysis
2020-01-01 Ieva, F.; Spreafico, M.; Burba, D.
Proton-Pump Inhibitor Provider Profiling via Funnel Plots and Poisson Regression
2020-01-01 Delle VEDOVE, Dario; Ieva, Francesca; Paganoni, ANNA MARIA
Prediction of late radiotherapy toxicity in prostate cancer patients via joint analysis of SNPs sequences
2020-01-01 Franco, Nicola Rares; Massi, Michela Carlotta; Ieva, Francesca; Paganoni, Anna Maria; Manzoni, Andrea; Zunino, Paolo; Rancati, Tiziana; West, Catharine
Deep Sparse Autoencoder-based Feature Selection for SNPs validation in Prostate Cancer Radiogenomics
2020-01-01 Massi, M. C.; Ieva, F.; Paganoni, A.; Manzoni, A.; Zunino, P.; Franco, N. R.; Rancati, T.; West, C.
Modeling the Effect of Recurrent Events on Time-to-event Processes by Means of Functional Data
2020-01-01 Ieva, F.; Spreafico, M.; Burba, D.
Eserciziario di Statistica Inferenziale
2020-01-01 Gasperoni, F.; Ieva, F.; Paganoni, A. M.
Methodological framework for radiomics applications in Hodgkin’s lymphoma
2020-01-01 Sollini, Martina; Kirienko, Margarita; Cavinato, Lara; Ricci, Francesca; Biroli, Matteo; Ieva, Francesca; Calderoni, Letizia; Tabacchi, Elena; Nanni, Cristina; Luigi Zinzani, Pier; Fanti, Stefano; Guidetti, Anna; Alessi, Alessandra; Corradini, Paolo; Seregni7 Carmelo Carlo-Stella and Arturo Chiti, Ettore
Component-wise outlier detection methods for robustifying multivariate functional samples
2020-01-01 Ieva, Francesca; Paganoni, ANNA MARIA
Joint modelling of recurrent events and survival: a Bayesian nonparametric approach
2020-01-01 Paulon, Giorgio; DE IORIO, Maria; Guglielmi, Alessandra; Ieva, Francesca
Adherence to Disease-Modifying Therapy in Patients Hospitalized for HF: Findings from a Community-Based Study
2020-01-01 Spreafico, M.; Gasperoni, F.; Barbati, G.; Ieva, F.; Scagnetto, A.; Zanier, L.; Iorio, A.; Sinagra, G.; Di Lenarda, A.
Evaluating the effect of healthcare providers on the clinical path of heart failure patients through a semi-Markov, multi-state model
2020-01-01 Gasperoni, F.; Ieva, F.; Paganoni, A. M.; Jackson, C. H.; Sharples, L.
A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort
2020-01-01 Massi, MICHELA CARLOTTA; Gasperoni, Francesca; Ieva, Francesca; Paganoni, ANNA MARIA; Zunino, Paolo; Manzoni, Andrea; Franco, NICOLA RARES; Veldeman, Liv; Ost, Piet; Fonteyne, Val('(e))rie; Talbot, Christopher J.; Rattay, Tim; Webb, Adam; Symonds, Paul R.; Johnson, Kerstie; Lambrecht, Maarten; Haustermans, Karin; De Meerleer, Gert; de Ruysscher, Dirk; Vanneste, Ben; Van Limbergen, Evert; Choudhury, Ananya; Elliott, Rebecca M.; Sperk, Elena; Herskind, Carsten; Veldwijk, Marlon R.; Avuzzi, Barbara; Giandini, Tommaso; Valdagni, Riccardo; Cicchetti, Alessandro; Azria, David; Farcy Jacquet, Marie-Pierre; Rosenstein, Barry S.; Stock, Richard G.; Collado, Kayla; Vega, Ana; El('(i))as Aguado-Barrera, Miguel; Calvo, Patricia; Dunning, Alison M.; Fachal, Laura; Kerns, Sarah L.; Payne, Debbie; Chang-Claude, Jenny; Seibold, Petra; West, Catharine M. L.; Rancati, Tiziana
Non-parametric frailty Cox models for hierarchical time-to-event data
2020-01-01 Gasperoni, Francesca; Ieva, Francesca; Paganoni, Anna Maria; Jackson, Christopher H; Sharples, Linda
Data mining application to healthcare fraud detection: a two-step unsupervised clustering method for outlier detection with administrative databases
2020-01-01 Massi, MICHELA CARLOTTA; Ieva, Francesca; Lettieri, Emanuele
Number of lung resections performed and long-term mortality rates of patients after lung cancer surgery: evidence from an Italian investigation
2020-01-01 Rea, Federico; Ieva, Francesca; Pastorino, Ugo; Apolone, Giovanni; Barni, Sandro; Merlino, Luca; Franchi, Matteo; Corrao, Giovanni
Data Mining Application to Healthcare Fraud Detection: Two-Step Unsupervised Clustering Method for Outlier Detection with Administrative Databases
2019-01-01 Massi, MICHELA CARLOTTA; Ieva, F.; Lettieri, E.
Joint Models: a smart way to include functional data in healthcare analytics
2019-01-01 Spreafico, Marta; Ieva, F.
Hospital effect on 3-years-survival in patients undergone to lung tumor surgery: a real-world study.
2019-01-01 Ieva, F.; Rea, F.; Barni, S.; Corrao, G.
Investigating the role of proteinuria in renal disease: A real-world clinical case study
2019-01-01 Spreafico, M.; Ieva, F.
BIVARIATE SEMI-PARAMETRIC MIXED-EFFECTS MODELS FOR CLASSIFYING THE EFFECTS OF ITALIAN CLASSES ON MULTIPLE STUDENT ACHIEVEMENTS
2019-01-01 Masci, C.; Ieva, F.; Agasisti, T.; Paganoni, A. M.
Classification of Italian classes via bivariate semiparametric multilevel models
2019-01-01 Masci, C.; Agasisti, T.; Ieva, F.; Paganoni, A. M.
Are Real World Data the smart way of doing Health Analytics?
2019-01-01 Ieva, F.
Adherence to recommendations and clinical outcomes of patients hospitalized for stroke: the role of the admission ward - a real-life investigation from Italy
2019-01-01 Rea, Federico; Micieli, Giuseppe; Musicco, Massimo; Cavallini, Anna; Santucci, Claudia; Merlino, Luca; Ieva, Francesca; Ferrarese, Carlo; Corrao, Giovanni
Statistica Medica
2019-01-01 Ieva, F.; Paganoni, A. M.; Secchi, P.
Semiparametric mixed-effects models for unsupervised classification of Italian schools
2019-01-01 Masci, Chiara; Paganoni, ANNA MARIA; Ieva, Francesca
A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data
2019-01-01 Martino, Andrea; Ghiglietti, Andrea; Ieva, Francesca; Paganoni, Anna Maria
roahd Package: Robust Analysis of High Dimensional Data
2019-01-01 Ieva, F.; Paganoni, A. M.; Romo, J.; Tarabelloni, N.
Comparing methods for comparing networks
2019-01-01 Tantardini, Mattia; Ieva, Francesca; Tajoli, Lucia; Piccardi, Carlo
A simulation study on the use of response-adaptive randomized designs.
2018-01-01 Paganoni, A. M.; Ghiglietti, A.; Scarale, M. G.; Miceli, R.; Ieva, F.; Mariani, L.; Gavazzi, C.; Edefonti, V.
Unsupervised clustering of Italian schools via non-parametric multilevel models.
2018-01-01 Masci, C.; Ieva, F.; Paganoni, A. M.
STATISTICAL ASSESSMENT AND CALIBRATION OF NUMERICAL ECG MODELS
2018-01-01 Tarabelloni, Nicholas; Schenone, Elisa; Collin, Annabelle; Ieva, Francesca; Paganoni, Anna Maria; Gerbeau, Jean-Frederic
Target dosages and adherence to PolyPharmacy therapy: a case study based on a regional real-world HF community
2018-01-01 Spreafico, M.; Gasperoni, F.; Barbati, G.; Ieva, F.; Scagnetto, A.; Zanier, L.; Iorio, A.; Sinagra, G.; Di Lenarda, A.
A semiparametric Bayesian joint model for multiple mixed-type outcomes: an application to acute myocardial infarction
2018-01-01 Guglielmi, Alessandra; Ieva, Francesca; Paganoni, ANNA MARIA; Quintana, Fernardo A.
Optical Quantification of Collagen and Breast Cancer: Lesion Classification and Risk Estimate
2018-01-01 Taroni, Paola; Pifferi, Antonio; Cubeddu, Rinaldo; Ieva, Francesca; Paganoni, Anna Maria; Abbate, Francesca; Cassano, Enrico
Regional variation in hospitalisation and mortality in heart failure: comparison of England and Lombardy using multistate modelling
2018-01-01 Bottle, Alex; Ventura, Chiara Maria; Dharmarajan, Kumar; Aylin, Paul; Ieva, Francesca; Paganoni, ANNA MARIA
Multi-State model with nonparametric discrete frailty.
2018-01-01 Gasperoni, F.; Ieva, F.; Paganoni, A. M.; Jackson, C.; Sharples, L.
Investigating the effect of drugs consumption on survival outcome of Heart Failure patients using joint models: a case study based on regional administrative data.
2018-01-01 Spreafico, Marta; Gasperoni, F.; Ieva, F.
Network analysis of comorbidity patterns in Heart Failure patients using administrative data.
2018-01-01 Ieva, F.; Bitonti, D.
Urn models for response-adaptive randomized designs: a simulation study based on a nonadaptive randomized trial
2018-01-01 Ghiglietti, Andrea; Giovanna Scarale, Maria; Miceli, Rosalba; Ieva, Francesca; Mariani, Luigi; Gavazzi, Cecilia; Paganoni, ANNA MARIA; Edefonti, Valeria
A multi-state approach to patients affected by chronic heart failure
2018-01-01 Grossetti, Francesco; Ieva, Francesca; Paganoni, ANNA MARIA
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