IEVA, FRANCESCA
IEVA, FRANCESCA
Dipartimento di Matematica Federigo Enriques
A general framework for penalized mixed-effects multitask learning with applications on DNA methylation surrogate biomarkers creation
2023 A. Cappozzo, F. Ieva, G. Fiorito
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
2023 D. Bissacco, T.J. Mandigers, L. Savaré, M. Domanin, M. D'Oria, F. Ieva, J.A. Van Herwaarden, K. Mani, A. Wanhainen, S. Trimarchi
Mixed-effects high-dimensional multivariate regression via group-lasso regularization = Regressione multivariata con effetti misti per dati ad alta dimensionalit`a: un approccio con regolarizzazione di tipo group-lasso
2022 F. Ieva, A. Cappozzo, G. Fiorito
PET/CT‑based radiomics of mass‑forming intrahepatic cholangiocarcinoma improves prediction of pathology data and survival
2022 F. Fiz, C. Masci, G. Costa, M. Sollini, A. Chiti, F. Ieva, G. Torzilli, L. Viganò
A blood DNA methylation biomarker for predicting short-term risk of cardiovascular events
2022 A. Cappozzo, C. Mccrory, O. Robinson, A. Freni Sterrantino, C. Sacerdote, V. Krogh, S. Panico, R. Tumino, L. Iacoviello, F. Ricceri, S. Sieri, P. Chiodini, G.J. Mckay, A.J. Mcknight, F. Kee, I.S. Young, B. Mcguinness, E.M. Crimmins, T.E. Arpawong, R.A. Kenny, A. O’Halloran, S. Polidoro, G. Solinas, P. Vineis, F. Ieva, G. Fiorito
Development of a method for generating SNP interaction-aware polygenic risk scores for radiotherapy toxicity
2021 N.R. Franco, M.C. Massi, F. Ieva, A. Manzoni, A.M. Paganoni, P. Zunino, L. Veldeman, P. Ost, V. Fonteyne, C.J. Talbot, T. Rattay, A. Webb, K. Johnson, M. Lambrecht, K. Haustermans, G. De Meerleer, D. de Ruysscher, B. Vanneste, E. Van Limbergen, A. Choudhury, R.M. Elliott, E. Sperk, M.R. Veldwijk, C. Herskind, B. Avuzzi, B. Noris Chiorda, R. Valdagni, D. Azria, M.-. Farcy-Jacquet, M. Brengues, B.S. Rosenstein, R.G. Stock, A. Vega, M.E. Aguado-Barrera, P. Sosa-Fajardo, A.M. Dunning, L. Fachal, S.L. Kerns, D. Payne, J. Chang-Claude, P. Seibold, C.M.L. West, T. Rancati
Methodological framework for radiomics applications in Hodgkin’s lymphoma
2020 M. Sollini, M. Kirienko, L. Cavinato, F. Ricci, M. Biroli, F. Ieva, L. Calderoni, E. Tabacchi, C. Nanni, P. Luigi Zinzani, S. Fanti, A. Guidetti, A. Alessi, P. Corradini, E. Seregni, C. Carlo Stella, A. Chiti
A Deep Learning Approach Validates Genetic Risk Factors for Late Toxicity After Prostate Cancer Radiotherapy in a REQUITE Multi-National Cohort
2020 M. Massi, F. Gasperoni, F. Ieva, A. Paganoni, P. Zunino, A. Manzoni, N. Franco, L. Veldeman, P. Ost, V. Fonteyne, C. Talbot, T. Rattay, A. Webb, P. Symonds, K. Johnson, M. Lambrecht, K. Haustermans, G. De Meerleer, D. de Ruysscher, B. Vanneste, E. Van Limbergen, A. Choudhury, R. Elliott, E. Sperk, C. Herskind, M. Veldwijk, B. Avuzzi, T. Giandini, R. Valdagni, A. Cicchetti, D. Azria, M. Jacquet, B. Rosenstein, R. Stock, K. Collado, A. Vega, M. Aguado-Barrera, P. Calvo, A. Dunning, L. Fachal, S. Kerns, D. Payne, J. Chang-Claude, P. Seibold, C. West, T. Rancati
Urn models for response-adaptive randomized designs: a simulation study based on a non-adaptive randomized trial
2018 A. Ghiglietti, M.G. Scarale, R. Miceli, F. Ieva, L. Mariani, C. Gavazzi, A.M. Paganoni, V. Edefonti
A simulation study on the use of response-adaptive randomized designs
2018 A.M. Paganoni, A. Ghiglietti, M.G. Scarale, R. Miceli, F. Ieva, L. Mariani, C. Gavazzi, V. Edefonti
Statistical inference for stochastic processes: two-sample hypothesis tests
2017 A. Ghiglietti, F. Ieva, A.M. Paganoni
Critical values improvement for the standard normal homogeneity test by combining Monte Carlo and regression approaches
2016 M. Rienzner, F. Ieva
Bivariate multilevel models for the analysis of mathematics and reading pupils' achievements
2016 C. Masci, F. Ieva, T. Agasisti, A.M. Paganoni
A semiparametric Bayesian joint model for multiple mixed-type outcomes : an application to acute myocardial infarction
2016 A. Guglielmi, F. Ieva, A.M. Paganoni, F.A. Quintana
Does class matter more than school? : evidence from a multilevel statistical analysis on Italian junior secondary school students
2016 C. Masci, F. Ieva, T. Agasisti, A.M. Paganoni
Dynamic clustering of hazard functions: an application to disease progression in chronic heart failure
2016 F. Ieva, A.M. Paganoni, T. Pietrabissa
BarCamp: Technology Foresight and Statistics for the Future
2015 L. Azzimonti, M.A. Cremona, A. Ghiglietti, F. Ieva, A. Menafoglio, A. Pini, P. Zanini
Linear regression models and k-means clustering for statistical analysis of fNIRS data
2015 V. Bonomini, R. Re, L. Zucchelli, F. Ieva, L. Spinelli, D. Contini, A.M. Paganoni, A. Torricelli
Multi-state modelling of repeated hospitalisation and death in patients with heart failure: The use of large administrative databases in clinical epidemiology
2015 F. Ieva, C. Jackson, L. Sharples
Use of depth measure for multivariate functional data in disease prediction: an application to electrocardiograph signals
2015 N. Tarabelloni, F. Ieva, R. Biasi, A. Paganoni