Embedded Files
Peer reviewed journal articles
Peer reviewed journal articles
130
25.12 Corso, F., Baili, P., Scotti, F., Mazzeo, L., Torri, V., Lo Russo, G., Proto, C., Giani, C., Ganzinelli, L., Di Mauro, M.R., Cappozzo, A., Paganoni, A.M., Prelaj, A., Ieva, F. (2025)
Cost-effectiveness of first-line osimertinib informed by electronic medical records via text-mining: a real-world Italian case-study of EGFR-mutated advanced NSCLC patients.
ESMO Real World Data and Digital Oncology, 10: 100198
25.11 Pivato, C.A., Di Angelantonio, E., Tartaglia, F., Condorelli, G., Fontana, N., Ieva, F., Godino, C., Nakase, M., Hug, K., Rheude, T., Munoz-Garcia, A.J., Jimenez Diaz, V.A., Ielasi, A., Barbanti, M., Costa, G., Anzuini, A., Quadri, G., Lopez-Otero, D., Garot, P., Varbella, F., Brouwer, J., Gramss, L., Cao, D., Figliozzi, S., Regazzoli, D., Testa, L., Sanz Sanchez, J., Tomii, D., Chieffo, A., Joner, M., Sardella, G., Cerrato, E., Nombela-Franco, L., Pilgrim, T., Stefanini, G., (2025)
Impact of Valve Frame Height on PCI Outcomes After TAVI
Journal of the American College of Cardiology. To apper
25.10 Stefanini, G.,Pivato, C.A., Cozzi, O., Fontana, N., Ieva, F., Condorelli, G.,Godino, C., Reimers, B., Nakase, M., Hug, K., Rheude, T., Munoz-Garcia, A., Jimenez Diaz, V.A., Ielasi, A., Barbanti, M., Biasco, L., Mylotte, D., Leoncini, M., de la Torre Hernandez, J.M., Quadri, G., Varbella, F., Anzuini, A., Lopez, D., Garot, P., Brouwer, J., Mangieri, A., Regazzoli, D., Sanz Sanchez, J., Tomii, D., Chieffo, A., Joner, M., Sardella, G., Cerrato, E., Nombela-Franco, L., Pilgrim, T. (2025)
Clinical Outcomes Of Percutaneous Coronary Interventions After Transcatheter Aortic Valve Replacement
European Heart Journal Open. To appear
25.9 Caldera, L., Masci, C., Cappozzo, A., Leoni, O., Forlani, M., Antonelli, A., Ieva, F. (2025)
Uncovering mortality patterns and hospital effects in COVID-19 heart failure patients: a novel Multilevel logistic cluster-weighted modeling approach.
Biometrics , 81 (2): ujaf046 doi: 10.1093/biomtc/ujaf046
25.8 Gregorio, C., Barbati, G., Ieva, F. (2025)
A wavelet-mixed effect landmark model for the effect of short-term oscillations in longitudinal biomarker's profiles on the risk of death: an application for the monitoring of potassium in Heart Failure.
Biometrical Journal, 67 (2): e70043
25.7 Ragni, A., Masci, C., Ieva, F., Paganoni, A.M. (2025)
A Statistical Significance-Based Approach for Clustering Grouped Data via Generalized Linear Model with Discrete Random Effects
Journal of the Royal Statistical Society - Series A. doi: 10.1093/jrsssa/qnaf007
25.6 Lurani, A., Masci, C., Corso, F., Muccini, C., Ceccarelli, D., Galli, L., Ieva, F., Paganoni, A.M. (2022)
A neural-network approach for predicting time to cardiovascular diseases in HIV patients based on real-world data.
Operational Research, 25: 98
25.5 Di Battista, I., De Sanctis, M.F., Arnone, E., Castiglione, C., Bernardi, M., Ieva, F., Sangalli, L.M. (2025)
Exploring nitrogen dioxide spatial concentration via physics-informed multiple quantile regression
Environmental and Ecological Statistics. doi: 10.1007/s10651-025-00664-8
25.4 Rigamonti, V., Torri, V., Morris, S.K., Ieva, F., Giaquinto, C., Donà, D., Di Chiara, C., Cantarutti, A., CARICE study group (2025)
Real-World Effectiveness of Influenza Vaccination in Preventing Influenza and Influenza-Like Illness in Children
Vaccine., Volume 53, 19 April 2025, 126946
25.3 Pivato, C.A., Cozzi, O., Fontana, N., Ieva, F., Condorelli, G., Godino, C., Reimers, D., Nakase, M., Hug, K., Rheude, T., Munoz-Garcia, A.M., Jimenez Diaz, V.A., Ielasi, A., Barbanti, M., Biasco, L., Mylotte, D., Leoncini, M., de la Torre Hernandez, J.M., Quadri, G., Varbella, F., Anzuini, A., Lopez, D., Garot, P., Brouwer, J., Mangieri, A., Regazzoli, D., Testa, L., Sanz Sanchez, J., Tomii, D., Chieffo, A., Joner, M., Sardella, G., Cerrato, E., Nombela-Franco, L., Pilgrim, T., Stefanini, G. (2025)
Clinical Outcomes Of Percutaneous Coronary Interventions After Transcatheter Aortic Valve Replacement
European Heart Journal Open, Volume 5, Issue 5, September 2025, oeaf095
25.2 Mazzeo, L., Corso, F., Baili, P., Scotti, F., Torri, V., Ganzinelli, M., Miskovic, V., Leporati, R., Provenzano, L., Spagnoletti, A., Silvestri, C., Giani, C., Cavalli, C., di Mauro, R. M., Meazza Prina, M., Proto, C., Brambilla, M., Occhipinti, M., Manglaviti, S., Beninato, T., Miliziano, D., Dumitrascu, A. D., Di Liberti, G., Cassano, T. S., de Braud, F. G. M., Russo, G. L., Cappozzo, A., Paganoni, A.M., Ieva, F., Prelaj, A. (2025)
Data analytics for real-world data integration in TKI-treated NSCLC patients using electronic health records
ESMO Real World Data and Digital Oncology, 7: 100109
25.1 Ammirabile, A., Cavinato, L., Ferro, C.A.P., Fiz, F., Savino, M.S., Russolillo, N., Balbo Mussetto, A., Ragaini, E.M., Lanza, E., Akpinar, R., Procopio, F., Francone, M., Terracciano, L.M., Gallo, T., De Rosa, G., Ferrero, A., Di Tommaso, L., Ieva, F., Torzilli, G., Viganò, L. (2025)
CT-radiomics and pathological tumor response to systemic therapy: A predictive analysis for colorectal liver metastases. Development and internal validation of a clinical-radiomic model,
European Journal of Surgical Oncology, 51 (3): 109557
24.14 Pivato, C.A., Inversetti, A., Condorelli, G., Chieffo, A., Levi-Setti, P.E., Latini, A.C., Busnelli, A., Messa, M.,
Cristodoro, M., Bragato, R.M., Francone, M., Zuccolo, L., Ieva, F., Di Angelantonio, E., Stefanini, G.,
Di Simone, N. (2024)
Cardiovascular safety of assisted reproductive technology: a meta-analysis
European Heart Journal, 46, 687–698 doi:10.1093/eurheartj/ehae886
24.13 Spreafico, M., Ieva, F., Fiocco, M. (2024)
Causal effect of chemotherapy received dose intensity on survival outcome: a retrospective study in
osteosarcoma
BMC Medical Research Methodology, 24: 296
24.12 Cavinato, L., Hong, J., Wartenberg, M., Reinhard, S., Seifert, R., Zunino, P., Manzoni, A., Ieva, F., Chiti, A.,
Rominger, A., Shi, K. (2024)
Unveiling the biological side of PET-derived biomarkers: a simulation-based approach applied to PDAC
assessment
European Journal of Nuclear Medicine and Molecular Imaging, 52: 1708–1722
24.11 Spreafico, M., Ieva, F., Fiocco, M. (2024)
Longitudinal Latent Overall Toxicity (LOTox) profiles in osteosarcoma: a new taxonomy based on latent Markov
models
Statistical Methods and Applications, 33: 1451–1482
24.10 Galliani, G., Secchi, P., Ieva, F. (2024)
Estimation of Dynamic Origin-Destination Matrices in a Railway Transportation Network integrating Ticket
Sales and Passenger Count Data
Transportation Research Part A. 190: 104246
24.9 Morabito, G., Gregorio, C., Ieva, F. , Barbati, G., Mancia, G., Corrao, G., Rea, F. (2024)
Cost-effectiveness of single-pill and separate-pill administration of antihypertensive triple combination therapy: a population-based microsimulation study.
BMC Public Health 24, 1808.
24.8 Torri, V., Ercolanoni, M., Bortolan, F., Leoni, O., Ieva, F. (2024)
A NLP-based semi-automatic identification system for delays in follow-up examinations: an Italian case study on clinical referrals
BMC Medical Informatics and Decision Making. doi: 10.1186/s12911-024-02506-2
24.7 Gregorio, C., Rea, F., Ieva, F., Scagnetto, A., Indennidate, C., Cappelletto, C., Di Lenarda, A., Barbati, G. (2024)
Flexible Approaches Based On Multi-State Models and Microsimulation to Perform Real-World Cost-Effectiveness Analyses: An Application To PCSK9-Inhibitors
Value in Health. doi: 10.1016/j.jval.2024.03.008
24.6 Viganò, L., Zanuso, V., Fiz, F., Cerri, L., Laino, M.E., Ammirabile, A., Ragaini, E.M., Viganò, S., Terracciano, L.M.,
Francone, M., Ieva, F., Di Tommaso, L., Rimassa, L. (2024)
CT-based radiogenomics of intrahepatic cholangiocarcinoma
Digestive and Liver Disease, doi: 10.1016/j.dld.2024.06.033
24.5 Ieva, F., Ronzulli, M., Romo, J., Paganoni, A.M. (2024)
A Spearman dependence matrix for Multivariate Functional Data.
Journal of Nonparametric Statistics. doi: 10.1080/10485252.2024.2353615
24.4 Fiz, F., Rossi, N., Langella, S., Ruzzenente, A., Serenari, M., Ardito, F., Cucchetti A., Gallo, T., Zamboni, G.A., Mosconi, C., Boldrini, L., Mirarchi, M., Cirillo, S., De Bellis, M., Pecorella, I., Russolillo, N., Borzi, M., Vara, G., Mele, C., Ercolani, G., Giuliante, F., Ravaioli, M., Guglielmi, A., Ferrero, A., Sollini, M., Chiti, A., Torzilli, G., Ieva, F., Viganò, L. (2024)
Radiomics of intrahepatic cholangiocarcinoma and peritumoral tissue predicts postoperative survival.
Development of a CT-based clinical-radiomic mode
Annal of Surgical Oncology. doi: 10.1245/s10434-024-15457-9
24.3. Tentori, C.A*., Gregorio, C.*, Robin, M., Gagelmann, N., Gurnari, C., Ball, S., Caballero Berrocal, J.C., Lanino, L., D’Amico, S., Spreafico, M., Maggioni, G., Travaglino, E., Sauta, E., Meggendorfer, M., Zhao, L.P. , Bernardi, M., Di Grazia, C., Vago, L., Rivoli, G., Borin, L., Chiusolo, P., Giaccone, L., Voso, M.T., Bewersdorf, J.P., Nibourel, O., Díaz Beyá, M., Jerez, A., Hernández, F., Velázquez Kennedy, K., Xicoy, B., Ubezio, M., Campagna, A., Russo, A., Todisco, G., Mannina, D., Bramanti, S., Zampini, M., Riva, E., Bicchieri, M., Asti, G., Viviani, F., Buizza, A., Tinterri, B., Kubasch, A.S., Bacigalupo, A., Raiola, A.M., Rambaldi, A., Passamonti, F., Ciceri, F., Savevski, V., Santoro, A., Al Ali, N., Sallman, D., Sole, F:, Garcia-Manero, G., Germing, U., Kroger, N., Kordasti, S., Santini, V., Sanz, G., Kern, W., Platzbecker, U., Diez-Campelo, M., Maciejewski, J.P., Ades, L., Fenaux, P., Haferlach, T., Zeidan, A.M., Castellani, G., Komrokji, R., Ieva, F.**, Della Porta, M.G**. (2024)
Clinical and genomic-based Decision Support System to define the optimal timing of allogeneic hematopoietic stem cell transplantation in patients with myelodysplastic syndromes
Journal of Clinical Oncology, 2: 2873-2886 doi: 10.1200/JCO.23.02175
24.2. Gregorio, C., Spreafico, M., D’Amico, S., Sauta, E., Asti, G., Lanino, L., Tentori, C.A.,Platzbecker, U., Haferlach, T.,
Diez-Campelo, D., Fenaux, P., Komrokji, R., Della Porta, M.G., Ieva, F. (2024)
Personalized timing for allogeneic stem cell transplantation in hematological neoplasms: a target trial emulation approach using multi-state modeling and microsimulation.
Journal of Clinical Oncology - Clinical Cancer Informatics, 8:8 doi: 10.1200/CCI.23.00205
24.1. Masci, C., Ieva, F., Paganoni, A.M. (2024)
Inferential tools for assessing dependence across response categories in multinomial models with discrete random effects
Journal of Classification. doi: 10.1007/s00357-024-09466-2
23.17. Tentori*, C.A., Gregorio*, C., [...],Ieva**, F.,Della Porta** M.G. (2023)
Clinical and genomic-based Decision Support System to define the optimal timing of allogeneic hematopoietic stem cell transplantation in patients with myelodysplastic syndromes
Blood, 142 (Supplement 1): 197-197 doi: 10.1182/blood-2023-182194
23.16. Cavinato, L., Massi, M.C., Sollini, M., Kirienko, M., Ieva, F. (2023)
Dual Adversarial Deconfounding Autoencoder to remove batch-effect in multi-center radiomics data
Scientific Reports, 13: 18857 [Github repo]
23.15. Archetti, A., Ieva, F., Matteucci, M. (2023)
Scaling survival analysis in healthcare with federated survival forests: A comparative study on heart failure and breast cancer genomics,
Future Generation Computer Systems , 149: 343-358 doi: https://doi.org/10.1016/j.future.2023.07.036.
23.14. Savaré, L., Ieva, F., Corrao, G., Lora, A. (2023)
Capturing the variety of clinical pathways in patients with schizophrenic disorders through state sequences analysis .
BMC Medical Research Methodology. , 23: 174 doi:10.1186/s12874-023-01993-7
23.13. Bissacco, D., Bellosta, R., Domanin, M., Primo, R., Mandigers, T., Savaré, L., Ieva, F., Piffaretti, G., Trimarchi, S. (2023)
A propensity score matching analysis comparing vascular patients in two different COVID-19 waves: results from the Vascular Surgery Group of Regione Lombardia (VSG-RL) registry.
Italian Journal of Vascular and Endovascular Surgery. To appear
23.12. Mandigers, T.J., Fulgheri, I., Pugliese, G., Bissacco, D., Savarè, L., Ieva, F., Campoleoni, M., van Herwaarden, J.A., Trimarchi, S., Domanin, M. (2023)
Patients’ radiation exposure during endovascular abdominal aortic aneurysm repair
Annals of Vascular Surgery, 98: 115-123 doi: 10.1016/j.avsg.2023.06.014
23.11. Bissacco, D., Savaré, L., Domanin, M., d'Oria, M., Ieva, F., van Herwaarden, J.A., Mani, K., Wanhainen, A., Trimarchi, S. (2023)
Comparison of the Reproducibility of Ultrasound Calliper Placement Methods in Abdominal Aortic Diameter Measurements: A Systematic Review and Meta-Analysis of Diagnostic Test Accuracy Studies.
European Journal of Vascular & Endovascular Surgery. doi: 10.1016/j.ejvs.2023.06.010
23.10. Cappozzo, A., Ieva, F., Fiorito, G. (2023)
A general framework for penalized mixed-effects multitask learning with application on DNAm biomarkers creation.
Annals of Applied Statistics, 17(4): 3257-3282 (December 2023). doi: 10.1214/23-AOAS1760
23.9. Fiz, F., Rossi, N., Langella, S., Ruzzenente, A., Serenari, M., Ardito, F., Cucchetti, A., Gallo, T., Zamboni, G.A.,
Mosconi, C., Boldrini, L, Mirarchi, M., Cirillo, S., De Bellis, M., Pecorella, I., Russolillo, N., Borzi, M., Vara, G.,
Mele, C., Ercolani, G., Giuliante, F., Ravaioli, M., Guglielmi, A., Ferrero, A., Sollini, M., Chiti, A., Torzilli, G., Ieva, F.,
Viganò, L. (2023)
Radiomic analysis of intrahepatic cholangiocarcinoma: non-invasive prediction of pathology data. A multicenter study to develop a clinical-radiomic model
Cancers, 15(17): 4204 https://doi.org/10.3390/cancers15174204
23.8. Pidò, S., Pinoli, P., Crovari, P., Ieva, F., Garzotto, F., Ceri, S. (2023)
Ask Your Data - Supporting Data Science Processes by Combining AutoML and Conversational Interfaces
IEEE Access, 11: 45972-45988.
23.7. Cavinato, L., Gozzi, N., Sollini, M., Kirienko, M., Carlo-Stella, C., Rusconi, C., Chiti, A., Ieva, F. (2023)
Explainable domain transfer of distant supervised cancer subtyping model via imaging-based rules extraction
Artificial Intelligence in Medicine, 138: 102522
23.6. Cavinato, L., Costa, G., Fiz, F., Sollini, M., Chiti, A., Torzilli, G., Ieva, F., Viganò, L. (2023)
Mapping tumor heterogeneity via local entropy assessment: making biomarkers visible.
Journal of Digital Imaging. doi: 10.1007/s10278-023-00799-9
23.5. 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. (2023)
Learning High-Order Interactions for Polygenic Risk Prediction
Plos One, 18(2): e0281618.
23.4. Serafini, L., Gottlob, A., Pierri, F., Ieva, F., Ceri, S. (2023)
Risk Narratives on Immigration During the COVID-19 Crisis in Italy: A Comparative Analysis of Facebook Posts Published by Politicians and by News media.
Journal of Communicaition Enquiry doi: 10.1177/01968599231167939
23.3. Cavinato, L., Sollini, M., Ragni, A., Bartoli, F., Zanca, R., Pasqualetti, F., Marciano, A., Ieva, F., Erba, P.A. (2023)
Radiomics-based inter-lesion relation network to describe [18F]FMCH
Cancers, 15(3): 823
23.2. Merlo, I., Crea, M., Berta, P., Ieva, F., Carle, F., Rea, F., Porcu, G., Savaré, 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. on behalf of the Italian Alert_CoV Project group. (2023)
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.
Euro Surveillance; 28(1)
23.1. Galliani, G. Secchi, P., Ieva, F. (2023)
The impact of public transport on the diffusion of COVID-19 pandemic in Lombardy during 2020,
Medical Research Archives, 11(9) [online]
22.8. Spreafico, M., Ieva, F., Fiocco, M. (2022)
Modelling time-varying covariates effect on survival via functional data analysis: application to the MRC BO06 trial in osteosarcoma.
Statistical Methods and Applications, 32: 271–298
22.7. Cavinato, L., Pegoraro, M., Ragni, A., Sollini, M., Erba, P.A., Ieva, F. (2022)
Imaging-based representation and stratification of intra-tumor heterogeneity via tree-edit distance
Scientific Reports, 12: 19607
22.6. Cappozzo, A., McCrory, C., Robinson, O., Freni Sterrantino, A., Sacerdote, C., Krogh, V., Panico, S., Tumino, R.,
Iacoviello, L., Ricceri, F., Sieri, S., Chiodini, P., Kenny, R.A., O’Halloran, A., Polidoro, S., Solinas, G., Vineis, P., Ieva, F.,
Fiorito, G. (2022)
A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events
Clinical Epigenetics. doi: 10.1186/s13148-022-01341-4
22.5. Massi, M.C, Dominoni, L., Ieva, F., Fiorito, G. (2022)
Deep Survival EWAS approach estimating risk profile based on pre-diagnostic DNA methylation: an application to Breast Cancer time to diagnosis
PLOS COmputational Biology, 18(9): e1009959
22.4. Fiz, F., Masci, C., Costa, G., Sollini, M., Chiti, A., Ieva, F., Torzilli, G., Viganò, L. (2022)
PET/CT-based radiomics of mass-forming intrahepatic cholangiocarcinoma improves prediction of pathology data and survival European Journal of Nuclear Medicine and Molecular Imaging
European Journal of Nuclear Medicine and Molecular Imaging. Aug; 49(10): 3387-3400.
22.3. Franceschini, D., Franzese C., Comito, T., Navarria, P., D’Agostino, G.R., Polenghi, V., Ieva, F., Scorsetti, M. (2022)
Oligoscore: a clinical score to predict overall survival in patients with oligometastatic disease treated with
stereotatic body radiotherapy.
Acta Oncologica. To appear doi: 10.1080/0284186X.2022.2042475
22.2. Massi, M.C., Gasperoni, F., Ieva, F., Paganoni, A.M. (2022)
Feature Selection for Imbalanced Data with Deep Sparse Autoencoders Ensemble
Statistical Analysis and Data Mining, 15 (3): 376-395
22.1. Masci, C., Ieva, F., Paganoni, A.M. (2022)
Semiparametric Multinomial Mixed-Effects Models: a University Student Profiling Tool
Annals of Applied Statistics, 16(3): 1608-1632 (September 2022) doi: 10.1214/21-AOAS1559
21.13. Spreafico, M., Ieva, F., Arlati, F., Capello, F., Fatone, F., Fedeli, F., Genalti, G., Anninga, J.K., Gelderblom, H., Fiocco, M. (2021)
A 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
BMJ open 2021, 11(12), e053456. doi: 10.1136/bmjopen-2021-053456
21.12. Sollini, M., Bartoli, F., Cavinato, L., Ieva, F., Ragni, A., Marciano, A., Zanca, R., Galli, L., Paiar, F., Pasqualetti, F., Erba, P.A. (2021)
[18F]FMCH PET/CT biomarkers and similarity analysis to refine the definition of oligometastatic prostate cancer.
EJNMMI Research, Nov 27; 11(1): 119 PMID: 34837532.
21.11. Rancati, T., Massi, M., Franco, N., Avuzzi, B., Azria, D., Choudhury, A., Cicchetti, Dirk, D.R., Dunning, A., Elliott, R.,
Ieva, F., Kerns, S., Lambrecht, M., Manzoni, A., Paganoni, A.M., Rosenstein, B., Seibold, P., Sperk, E., Talbot, C., Vega,
A., Veldeman, L., Zunino, P., Webb, A., Chang-Claude, J., West, C. (2021)
PH-0656 Prediction of toxicity after prostate cancer RT: the value of a SNP-interaction polygenic risk score,
Radiotherapy and Oncology, 161: 526–528
21.10. Cannistrà,M.; Masci, C.; Ieva, F.; Agasisti, T.; Paganoni, A.M. (2021)
Early-predicting dropout of university students: an application of innovative machine learning and multilevel
statistical techniques.
Studies in higher education, 47 (9): 1935-1956 doi: 10.1080/03075079.2021.2018415
21.9. Massi, M.C., Ieva, F. (2021)
Learning Signal Representations for EEG Cross-Subject Channel Selection and Trial Classification
IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021, pp. 1-6
Best Paper Runner Up Award
21.8. Costa, G., Cavinato, L., Masci, C., Fiz, F., Sollini, M., Politi, L.S., Chiti, A., Balzarini, L., Aghemo, A.,
di Tommaso, L., Ieva, F., Torzilli, G., Viganò, L. (2021)
Virtual Biopsy for Diagnosis of Chemotherapy-Associated Liver Injuries and Steatohepatitis: a Combined Radiomic and Clinical Model in Patients with Colorectal Liver Metastases
Cancers , Special Issue "New Challenges in Cancer Imaging", 13(12): 3077.
21.7. Franco, N.R., Massi, M.C., Ieva, F., Manzoni, A., Paganoni, A.M., Zunino, P., ..., REQUITE Consortium,
West, C.M.L., Rancati, T. (2021)
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity.
Radiotherapy and Oncology, 159: 241-248, June 2021
21.6. Spreafico, M., Ieva, F. (2021)
Functional modelling of recurrent events on time-to-event processes
Biometrical Journal, 63(5): 948–967
21.5. Spreafico, M.; Ieva, F. (2021)
Dynamic monitoring of the effects of adherence to medication on survival in Heart Failure patients: a joint modelling approach exploiting time-varying covariates.
Biometrical Journal , 63(2) Special Issue: Novel Aspects in Biostatistics: 305-322
21.4. Viganò, L., Sollini, M., Ieva, F., Fiz, F., Torzilli, G. (2021)
Chemotherapy-associated liver injuries. Unmet needs and new insights for surgical oncologists.
Annals of Surgical Oncology, 28(8): 4074–4079 doi: 10.1245/s10434-021-10069-z
21.3. Fontana, L., Masci, C., Ieva, F., Paganoni, A.M. (2021)
Performing Learning Analytics via Generalised Mixed-Effects Trees.
Data, 6 (7), 74. [url]
21.2 Masci, C., Ieva, F., Agasisti, T., Paganoni A.M. (2021)
Evaluating class and school effects on the joint achievements in different subjects: a bivariate semi-parametric
mixed-effects model
Computational Statistics, 36(4): 2337–2377 doi: 10.1007/s00180-021-01107-1
21.1. Pellagatti, M.; Masci, C.; Ieva, F.; Paganoni A.M. (2021)
Generalized Mixed-Effects Random Forest: a flexible approach to predict university student dropout
Statistical Analysis and Data Mining, 14(3): 241–257 doi: 10.1002/sam.11505
20.9. Massi, M., Gasperoni, F., Ieva, F. et al. for the REQUITE consorzium (2020)
A deep learning approach validates genetic risk factors for late toxicity after prostate cancer radiotherapy in a REQUITE multi-national cohort
Frontiers in Oncology - section Radiation Oncology, 10: 2033. doi: 10.3389/fonc.2020.541281 ISSN=2234-943X
20.8. Massi, M., Ieva, F., Lettieri, E. (2020)
Data Mining Application to Healthcare Fraud Detection: A Two-Step Unsupervised Clustering Model for Outlier Detection with Administrative Databases.
BMC Medical Informatics and Decision Making, 20 (1): 1-11
20.7. Sollini, M., Kirienko, M., Cavinato, L., Ricci, F., Biroli, M., Ieva, F., Calderoni, L., Tabacchi, E., Nanni, C., Zinzani, P.L., Fanti, S., Guidetti, A., Alessi, A., Corradini, P., Seregni, E., Carlo-Stella, C., Chiti, A. (2020)
Methodological framework for radiomics applications in Hodgkin's Lymphoma
European Journal of Hybrid Imaging. 4: 1-17
20.6. Gasperoni, F.; Ieva, F.; Paganoni, A.M.; Jackson, C.; Sharples, L. (2020)
Evaluating the effect of healthcare providers on the clinical path of Heart Failure patients through a novel semi-Markov multi-state model.
BMC Health Services Research. 20 (1): 1-11
20.5. Rea, F., Ieva, F., Pastorino, U., Apolone, G., Barni, S., Merlino, L., Franchi, M., Corrao, G. (2020)
Surgery-volume and mortality of patients after lung cancer surgery: evidence from an Italian real-world investigation.
European Journal of Cardio-Thoracic Surgery, 58 (1): 70-77
20.4. Spreafico, M., Gasperoni, F., Barbati, G., Ieva, F., Scagnetto, A., Zanier, L., Iorio, A., Sinagra, G., Di Lenarda, A. (2020)
Adherence to disease-modifying therapy in patients hospitalized for Heart Failure: findings from a community-based study
American Journal of Cardiovascular Drugs. 20: 179–190
20.3. Paulon, G., De Iorio, M, Guglielmi, A., Ieva, F. (2020, online first 2018)
Joint modelling of recurrent events and survival: a Bayesian nonparametric approach.
Biostatistics, 21 (1), 1-14.
20.2. Ieva, F., Paganoni, A.M. (2020, online first 2016)
Component-wise outlier detection methods for robustifying multivariate functional samples
Statistical Papers, 61: 595–614
20.1. Gasperoni, F., Ieva, F. Paganoni, A.M., Jackson C., Sharples L.D. (2020)
Nonparametric frailty Cox models for hierarchical time-to-event data
Biostatistics, 21 (3): 531-544
57. Tantardini, M., Ieva, F., Tajoli, L., Piccardi, C. (2019)
Comparing methods for comparing networks
Scientific Reports, 9, 17557 doi:10.1038/s41598-019-53708-y
56. SISMEC Machine Learning in Clinical Research Group (2019)
Machine learning in clinical and epidemiological research: isn't it time for biostatisticians to work on it?
Epidemiology, Biostatistics and Public Health, to appear.
55. Rea, F., Micieli, G., Musicco, M., Cavallini, A., Santucci, C., Merlino, L., Ieva, F., Ferrarese, C., Corrao, G. (2019)
Adherence to recommendations and clinical outcomes of patients hospitalized for stroke: the role of the admission ward—a real-life investigation from Italy
Neurological Sciences, 40 (7): 1433–1442
54. Masci, C., Paganoni, A.M., Ieva, F. (2019)
Semi-parametric mixed-effects models for unsupervised classification of Italian schools
Journal of the Royal Statistical Society - series A, 182 (4): 1313–1342
53. Ieva, F., Paganoni, A.M., Romo, J., Tarabelloni, N. (2019)
roahd Package: Robust Analysis of High Dimensional Data
R Journal. To appear
52. Martino, A., Ghiglietti, A., Ieva, F., Paganoni, A.M. (2019)
A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data
Statistical Methods & Applications, 28 (2): 301-322
51. Ieva, F., Gasperoni, F. (2018)
Discussion of the paper "Statistical challenges of administrative and transaction data" by David J. Hand.
Journal of the Royal Statisticl Society - Series A
50. Ieva, F., Bitonti, D. (2018)
Network analysis of comorbidity patterns in Heart Failure patients using administrative data.
Epidemiology, Biostatistics and Public Health, 15(2): e12779
49. Ekin, T., Ieva, F., Ruggeri, F., Soyer, R. (2018)
Statistical Medical Fraud Assessment: Exposition to an Emerging Field.
International Statistical Review, 86 (3): 379–402
48. Ghiglietti, A., Scarale, M.G., Miceli, R., Ieva, F., Mariani, L., Gavazzi, C., Paganoni, A.M., Edefonti, V. (2018)
Urn models for response-adaptive randomized designs: a simulation study based on a non-adaptive randomized trial.
Journal of Biopharmaceutical Statistics, 28 (6): 1203-1215.
47. Grossetti, F., Ieva, F., Paganoni, A.M. (2018, online first May 2017)
A Multi-state Approach to Patients Affected by Chronic Heart Failure The Value Added by Administrative Data.
Health Care Management of Science, 21(2): 281–291.
46. Bottle, A., Ventura, C.M., Dharmarajan, K., Aylin, P., Ieva, F., Paganoni, A.M. (2018, online first 2017)
Regional variation in hospitalisation and mortality in heart failure: comparison of England and Lombardy using multistate modelling.
Health Care Management of Science, 21(3): 292–304.
45. Guglielmi, A., Ieva, F., Paganoni, A.M., Quintana, F.A. (2018, online first 2016)
A semiparametric Bayesian joint model for multiple mixed-type outcomes: an Application to Acute Myocardial Infarction.
Advances in Data Analysis and Classification. 12(2): 399-423
44. Tarabelloni, N., Schenone, E., Collin, A., Ieva, F., Paganoni, A.M., Gerbeau, J.F. (2018)
Statistical Assessment and Calibration of Numerical ECG Models.
JP Journal of Biostatistics, 15(2): 151 - 173 (July-Dec 2018)
43. Gasperoni, F., Ieva, F., Barbati, G., Scagnetto, A., Iorio, A., Sinagra, G., Di Lenarda, A. (2017)
Multi state modelling of Heart Failure care path: a population-based investigation from Italy.
PlosOne 12(6): e0179176 --- highlight on Biomedical Advances
42. Frigerio, M., Mazzali, C., Paganoni, A.M., Ieva, F., Barbieri, P., Maistrello, M., Agostoni, O., Masella, C., Scalvini, S. (2017)
Trends in heart failure hospitalizations, patient characteristics, in-hospital and 1-year mortality: a population study, from 2000 to 2012 in Lombardy.
International Journal of Cardiology, 236: 310–314.
41. Ekin, T., Ieva, F., Ruggeri, F., Soyer, R. (2017)
On the Use of the Concentration Function in Medical Fraud Assessment.
The American Statistician, 71(3): 236-241
40. Rienzner, M., Ieva, F. (2017, online first 2016)
Critical values improvement for the Standard Normal Homogeneity Test, a technique for unknown and cardinality dependent distributions.
Journal of Applied Statistics, 44: 602-619.
39. Taroni, P., Paganoni, A.M., Ieva, F., Pifferi, A., Quarto, G., Abbate, F., Cassano, E., Cubeddu, R. (2017)
Non-invasive optical estimate of tissue composition to differentiate malignant from benign breast lesions: A pilot study.
Scientific Reports. doi: 10.1038/srep40683
38. Ghiglietti, A., Ieva, F., Paganoni, A.M. (2017)
Statistical inference for stochastic processes: two sample hypothesis tests,
Journal of Statistical Planning and Inference. 180: 49-68
37. Ghiglietti, A., Ieva, F., Aletti, G., Paganoni, A.M. (2017, online first 2015)
On linear regression models in infinite dimensional spaces with scalar response.
Statistical Papers, 58(2): 527-548
36. Ieva, F., Paganoni, A.M., Pietrabissa, T. (2017, online first 2016)
Dynamic clustering of hazard functions: an application to disease progression in chronic heart failure.
Health Care Management of Science, 20: 353–364.
35. Ieva, F., Jackson, C.H., Sharples, L.D. (2017, online first 2015)
Multi-State modelling of repeated hospitalisation and death in patients with Heart Failure: the use of large administrative databases in clinical epidemiology.
Statistical Methods in Medical Research, 26 (3): 1350-1372
34. Masci C., Ieva, F., Agasisti, T., Paganoni, A. (2017)
Bivariate multilevel models for the analysis of mathematics and reading pupils' achievements.
Journal of Applied Statistics. 44 (7), 1296-1317
33. Tarabelloni, N., Ieva, F., Paganoni, A.M. (2016)
Covariance Based Unsupervised Classification in Functional Data Analysis.
Journal of Machine Learning Research. 17 (143): 1−21
32. Mazzali, C., Paganoni, A.M., Ieva, F., Masella, C., Maistrello, M., Agostoni, O., Scalvini, S., Frigerio, M. On behalf of the HF Data Project (2016)
Methodological issues on the use of administrative data in healthcare research: the case of heart failure hospitalizations in Lombardy Region, 2000 to 2012.
BMC Health Services Research, 16 (1): 234 doi: 10.1186/s12913-016-1489-0
31. Agasisti, T., Ieva, F., Paganoni, A.M. (2017 printed version, 2016 electronic)
Heterogeneity, school-effects and achievement gaps across Italian regions: further evidence from statistical modeling.
Statistical Methods And Applications, 26 (1): 157–180. doi: 10.1007/s10260-016-0363-x
30. Masci C., Ieva, F., Agasisti, T., Paganoni, A. (2016)
Does class matter more than school? Evidence from a multilevel statistical analysis on Italian junior secondary school students.
Socio-EconomicPlanning Sciences, 54: 47-57.
29. Ieva, F., Paganoni, A.M. (2016, online first 2013).
Risk Prediction for Myocardial Infarction via Generalized Functional Regression Models.
Statistical Methods in Medical Research. 25 (4): 1648-1660
28. Ieva F., Secchi P., Vantini S. (2015)
[ITA] BIG DATA: la prossima sfida della Statistica, Lettera Matematica PRISTEM 93 (giugno), pp. 27-34.
[ENG] BIG DATA: the next challenge for statistics, Lettera Matematica. 3(3), 111-120.
27. Tarabelloni, N., Ieva, F., Paganoni, A.M., Biasi, R. (2015)
Use of depth measure for multivariate functional data in disease prediction: an application to electrocardiograph signals.
International Journal of Biostatistics, 11(2), 189–201.
26. Ieva, F., Paganoni, A.M. (2015)
Discussion of “multivariate functional outlier detection” by M. Hubert, P. Rousseeuw and P. Segaert.
Statistical Methods and Applications, 24 (2): 217-221
25. Bonomini V., Re R., Zucchelli L., Ieva F., Spinelli L., Contini D., Paganoni A.M., Torricelli A. (2015)
A new linear regression method for statistical analysis of fNIRS data.
Biomedical Optics Express, 6 (2): 616-630 doi:10.1364/BOE.6.000615
24. Braga, F., Ferraro, S., Ieva, F., Paganoni, A.M., Panteghini, M. (2015)
A new robust statistical model for interpretation of differences in serial test results from an individual.
Clinical Chemistry and Laboratory Medicine, 53(5): 815-822
23. Ieva, F., Paganoni, A.M. (2015)
Detecting and Visualizing Outliers in Provider Profiling via Funnel Plots and Mixed Effect Models.
Health Care Management Science, 18(2): 166–172.
22. Ieva, F., Gale, C.P., Sharples, L.D. (2015)
Contemporary roles of registries in clinical cardiology: when do we need randomized trials?
Expert Review of Cardiovascular Therapy, 12 (12): 1383-1386
21. Guglielmi, A., Ieva, F., Paganoni, A.M., Ruggeri, F., Soriano, J. (2014).
Semiparametric Bayesian modeling for the classification of patients with high observed survival probabilities.
Journal of the Royal Statistical Society - Series C, 63 (1): 25-46
20. Ieva, F., Marra, G., Paganoni, A.M., Radice, R. (2014)
A semiparametric bivariate probit model for joint modeling of outcomes in STEMI patients.
Computational and Mathematical Methods in Medicine.Vol. 2014, Article ID 240435, 7 pages [online] http://dx.doi.org/10.1155/2014/240435
19. Agasisti, T., Ieva, F., Paganoni, A.M. (2014)
Un’analisi degli apprendimenti degli student attraverso modelli multilevel.
Statistica e Società, Anno III, No. 1, 2014
18. Taroni, P., Quarto,G., Pifferi, A., Ieva, F., Paganoni, A.M., Abbate, F., Balestreri, N., Menna, S., Cassano, E., Cubeddu, R. (2013)
Optical Identification of Subjects at High Risk for Developing Breast Cancer.
Journal of Biomedical Optics Letters, 18(6), June (2013). doi: 10.1117/1.JBO.18.6.060507
17. Ekin, T., Ieva, F., Ruggeri, F., Soyer, R. (2013).
Application of Bayesian Methods in Detection of Healthcare Fraud.
Chemical Engineering Transaction, 33. [Online] http://business.gwu.edu/decisionsciences/i2sds/pdf/TR-2013-1.pdf
16. Ieva, F., Paganoni, A.M., Zanini, P. (2013).
Detection of structural changes in tachogram series for the diagnosis of Atrial Fibrillation events.
Computational and Mathematical Methods in Medicine, Vol. 2013, Article ID 373401, 11 pages.
15. Ieva, F., Paganoni, A.M., Pigoli, D., Vitelli, V. (2013).
Multivariate functional clustering for the analysis of ECG curves morphology.
Journal of the Royal Statistical Society – Series C, 62(3): 401-418
14. Azzimonti, L., Ieva, F., Paganoni, A.M. (2013)
Nonlinear nonparametric mixed-effects models for unsupervised classification.
Computational Statistics, 28:1549–1570. doi:10.1007/s00180-012-0366-5
13. Baraldo, S., Ieva, F., Paganoni, A.M., Vitelli, V. (2013)
Generalized functional linear models for recurrent events: an application to re-admission processes in heart failure patients.
Scandinavian Journal of Statistics, 40(3): 403-416, September 2013
12. Ieva, F., Paganoni, A.M.. (2013).
Depth Measures for Multivariate Functional Data.
Communication in Statistics – Theory and Methods, 42(7): 1265-1276.
11. Ieva, F., Paganoni, A.M., Ziller, S. (2013)
Operational risk management: a statistical perspective.
Far East Journal of Mathematical Sciences, Special Volume 2013, Part II, 123-138.
10. Di Lullo, G., Ieva, F., Longhi, R., Paganoni, A.M., Protti, M.P. (2012)
Estimating point and interval frequency of antigen-specific CD4+ T cells based on short in vitro expansio and improved Poisson distribution analysis.
PLoS One, 7(8). e42340. Epub 2012 Aug 7.
9. Grieco, N., Corrada, E., Sesana, G., Ieva, F., Paganoni, A.M., Marzegalli, M. (2012).
Mortality and ST resolution in patients admitted with STEMI: the MOMI survey of emergency service experience in a complex urban area.
European Heart Journal: Acute Cardiovascular Care, 1(3), 192–199.
8. Grieco, N., Ieva, F., Paganoni, A.M. (2012).
Performance assessment using mixed effects models: a case study on coronary patient care.
IMA Journal of Management Mathematics, 23(2), 117-131
7. Guglielmi, A., Ieva, F., Paganoni, A.M., Ruggeri, F. (2012).
A Bayesian random-effects model for survival probabilities after Acute Myocardial Infarction.
Chilean Journal of Statistics, 3(1): 1-15.
6. Ieva, F., Paganoni, A.M. (2011)
Process indicators for assessing quality of hospitals care: a case study on STEMI patients
JP Journal of Biostatistics, 6(1): 53-75
5. Ieva, F., Paganoni, A.M. (2010).
Multilevel models for clinical registers concerning STEMI patients in a complex urban reality: a statistical analysis of MOMI2 survey.
Communications in Applied and Industrial Mathematics, 1(1), 128-147
4. Ieva, F., Paganoni, A.M. (2009).
Integrazione tra registri clinici database amministrativi: il progetto IMASTE della Regione Lombardia.
SIS Magazine
3. Grieco, N., Corrada, E., Sesana, G., Fontana, G., Lombardi, F, Ieva, F., Paganoni, A.M., Marzegalli, M. (2008)
Le reti dell’emergenza in cardiologia : l’esperienza lombarda.
Giornale Italiano di Cardiologia Supplemento “Crema Cardiologia 2008. Nuove Prospettive in Cardiologia”.
2. Grieco, N., Corrada, Ieva, F., Lombardi, F., Marzegalli, M., Sesana, G., Paganoni, A.M. (2008).
On site ECG transmission reduces door-to-balloon time in patients referred for primary PCI.
European Heart Journal, 29 (Abstract Supplement): 655-656
1. Grieco, N., Sesana, G., Corrada, E., Ieva, F., Paganoni, A.M., Marzegalli, M. (2007)
The Milano Network for Acute Coronary Syndromes and Emergency Services.
MESPE journal, First Special Issue
Books
Books
4. Gasperoni, F., Ieva, F., Paganoni, A.M. (2020)
Eserciziario di Statistica Inferenziale. Springer ISBN: 978-88-470-3994-0
3. Ieva, F., Masci, C., Paganoni, A.M. (2016)
Laboratorio di Statistica con R (second edition) Pearson
2. Lanzarone, E., Ieva, F. (Eds.) (2014)
The Contribution of Young Researchers to Bayesian Statistics - Proceedings of BAYSM 2013. Springer
Proceedings in Mathematics and Statistics, Vol. 63, 2014. ISBN 978-3-319-02083-9
1. Ieva, F., Paganoni, A.M., Vitelli, V. (2011)
Laboratorio di Statistica con R – eserciziario. Pearson. ISBN 978-88-7192-762-6
Books Chapters
Books Chapters
13. Ieva, F., Fontana, N., Pivato, C.A., Di Angelantonio, E., Secchi, P. (2025)
Enhancing Causal Inference in Functional Data: a Method for Estimating Time-Varying Causal Treatment Effects.
In: Aneiros, G., Bongiorno, E.G., Goia, A., Hušková, M. (eds) New Trends in Functional Statistics and Related Fields. IWFOS 2025. Contributions to Statistics. Springer.
https://doi.org/10.1007/978-3-031-92383-8_35
12. Spreafico, M., Burba, D., Ieva. F. (2020)
Modeling the effect of recurrent events on time-to-event processes by means of Functional Data.
In: Aneiros, A., Horova, I., Huskova, M. and Vieu, P. Functional and High-Dimensional Statistics and Related Fields. Springer. ISBN: 978-3-030-47755-4 ISSN: 1431-1968
11. Agasisti, T., Ieva, F., Masci, C., Paganoni, A.M., Soncin, M. (2017)
Using statistical analytics to study school performance through administrative datasets.
In: Vanthienen, J. and De Witte, K. Data Analytics Applications in Education. Taylor and Francis. ISBN 978-14-9876-927-3.
10. Azzimonti, L., Cremona, M.A., Ghiglietti, A., Ieva, F., Menafoglio, A., Pini, A., Zanini, P. (2014)
BARCAMP: Technology Foresights and Statistics for the Future.
Advances in Complex Data Modeling and Computational Methods in Statistics (eds: A.M. Paganoni, P. Secchi), Springer. chap 10: 149-160
9. Mazzali, C., Maistriello, M., Ieva. F., BarbieriI, P. (2014)
Methodological issues in the use of administrative databases to study heart failure.
Advances in Complex Data Modeling and Computational Methods in Statistics (eds: A.M. Paganoni, P. Secchi), Springer.
8. Ieva, F. (2013)
Designing and mining a multicenter observational clinical registry concerning patients with Acute Coronary Syndromes.
New diagnostic, therapeutic and organizational strategies for patients with Acute Coronary Syndromes (eds:N. Grieco, A.M. Paganoni, M. Marzegalli). Springer-Verlag Italia, chap. 3, pp. 47-60. ISBN: 978-88-470-5378-6 doi:10.1007/987-88-470-5379-3_3
7. Cassarini, G., Ieva, F. (2013).
Statistical methods to study the representativeness of STEMI Archive.
New diagnostic, therapeutic and organizational strategies for patients with Acute Coronary Syndromes (eds:N. Grieco, A.M. Paganoni, M. Marzegalli). Springer-Verlag Italia, chap. 4, pp. 61-68. ISBN: 978-88-470-5378-6 doi:10.1007/987-88-470-5379-3_4
6. Baraldo, S., Ieva, F., Mainardi, L., Paganoni, A.M. (2013)
Estimation approaches for the Apparent Diffusion Coefficient in Rice-distributed MR signals.
Complex Models and Computational Methods in Statistics (eds: Grigoletto, Lisi, Petrone), Springer, pp.13-26.
5. Azzimonti, L., Ieva, F., Paganoni, A.M. (2013)
A new unsupervised classification technique through nonlinear non parametric mixed effects models.
Complex Models and Computational Methods in Statistics (eds: Grigoletto, Lisi, Petrone), Springer, pp. 1-11.
4. Guglielmi, A., Ieva, F., Paganoni, A.M., Ruggeri, F (2013).
Hospital clustering in the treatment of acute myocardial infarction patients via a Bayesian semiparametric approach.
Statistical Models for Data Analysis. In Studies in Classification, Data Analysis, and Knowledge Organization (eds: P. Giudici, S. Ingrassia, M. Vichi) Springer, pp. 141-149 ISBN: 978-3-319-00031-2 (Print) 978-3-319-00032-9 (Online)
3. Ieva, F., Paganoni, A.M., Secchi P. (2013).
Mining Administrative Health Databases for epidemiological purposes: a case study on Acute Myocardial Infarctions diagnoses.
Advances in Theoretical and Applied Statistics (eds: F.Pesarin, N.Torelli) Springer-Verlag Berlin Heidelberg, chap. 38, pp. 415-424
2. Guglielmi, A., Ieva, F., Paganoni, A.M., Ruggeri, F. (2012).
Process indicators and outcome measures in the treatment of Acute Myocardial Infarction patients.
Statistical Methods in Healthcare (eds: F. Faltin, R. Kenett, F. Ruggeri), chap. 10, pp. 219-229. Wiley.
1. Barbieri, P., Grieco, N., Ieva, F., Paganoni, A.M., Secchi, P. (2010).
Exploitation, integration and statistical analysis of Public Health Database and STEMI archive in Lombardia Region.
Complex data modeling and computationally intensive statistical methods – Series “Contribution to Statistics”, Springer, pp: 41-56
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