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
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
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
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
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 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
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
Statistical inference for stochastic processes: two-sample hypothesis tests
2017 A. Ghiglietti, F. Ieva, 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
Bivariate multilevel models for the analysis of mathematics and reading pupils' achievements
2016 C. Masci, F. Ieva, T. Agasisti, A.M. Paganoni
Critical values improvement for the standard normal homogeneity test by combining Monte Carlo and regression approaches
2016 M. Rienzner, F. Ieva
Big Data : the next challenge for statistics
2015 F. Ieva, P. Secchi, S. Vantini
Detecting and visualizing outliers in provider profiling via funnel plots and mixed effect models
2015 F. Ieva, A.M. Paganoni
Discussion of “multivariate functional outlier detection” by M. Hubert, P. Rousseeuw and P. Segaert
2015 F. Ieva, A.M. Paganoni
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
BarCamp: Technology Foresight and Statistics for the Future
2015 L. Azzimonti, M.A. Cremona, A. Ghiglietti, F. Ieva, A. Menafoglio, A. Pini, P. Zanini
A new robust statistical model for interpretation of differences in serial test results from an individual
2015 F. Braga, S. Ferraro, F. Ieva, A. Paganoni, M. Panteghini