Journal papers

  1. Masci, C., Paganoni, A. M., & Ieva, F. (2019).
    Semiparametric mixed effects models for unsupervised classification of Italian schools.
    Journal of the Royal Statistical Society: Series A (Statistics in Society).
  2. Gasperoni, F., Ieva, F., Paganoni, A. M., Jackson, C. H., & Sharples, L. (2018)
    Non-parametric frailty Cox models for hierarchical time-to-event data.
    Biostatistics.  doi: 10.1093/biostatistics/kxy071
  3. Masci, C., Johnes, G., Agasisti, T. (2018)
    Student and school performance across countries: A machine learning approach.
    European Journal of Operational Research 269(3): 1072-1085.
  4. 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 doi: 10.1111/rssa.1231

  5. 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 doi: 10.2427/12779

  6. 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   doi: 10.1111/insr.12269

  7. Paulon, G., De Iorio, M, Guglielmi, A., Ieva, F. (2018)
    Joint modelling of recurrent events and survival: a Bayesian nonparametric approach.
    Biostatistics.  doi: 10.1093/biostatistics/kxy026
  8. Schiltz, F., Masci, C., Agasisti, T., Horn, D. (2017)
    Using Regression Tree Ensembles to Model Interaction Effects: A Graphical Approach.
    Journal of applied economics, in press. DOI: 10.1080/00036846.2018.1489520.
  9. Ekin, T., Ieva, F., Ruggeri, F., Soyer, R. (2017)
    On the Use of the Concentration Function in Medical Fraud Assessment
    Am Stat., 71(3): 236-241.
  10. Masci, C., Ieva, F., Agasisiti, T., Paganoni, A.M. (2017)
    Bivariate multilevel models for the analysis of mathematics and reading pupils’ achievements
    J Appl Stat, 44(7): 1296-1317.
  11. Bottle, A. Ventura, C.M., Dharmarajan, K., Aylin, P., Ieva, F., Paganoni, A.M. (2017)
    Regional variation in hospitalisation and mortality in heart failure: comparison of England and Lombardy
    using multistate modelling.
    Health Care Manag Sci   21(3): 292–304
  12. Grossetti, F., Ieva, F., Paganoni, A.M. (2017)
    A Multi-state Approach to Patients Affected by Chronic Heart Failure The Value Added by Administrative Data.
    Health Care Manag Sci   21(2): 281–291.
  13. 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.
    PLOS ONE, 12(6): 1-15.
  14. 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.
    Stat Methods Med Res, 26(3): 1350-1372.
  15. Agasisti, T., Ieva, F., Paganoni, A.M. (2017)
    Heterogeneity, school-effects and achievement gaps across Italian regions: further evidence from statistical Modelling
    Stat Methods Appl, 26(1): 157–180.
  16. Frigerio M, Mazzali C, Paganoni AM, Ieva F, Barbieri P, Maistrello M, Agostoni O, Masella C, Scalvini S, HF Data Project. (2017)
    Trends in heart failure hospitalizations, patient characteristics, in-hospital and 1-year mortality: A population study, from 2000 to 2012 in Lombardy.
    Int J Cardiol.
    1 236:310-314.
  17. Ieva, F., Paganoni, A.M., Pietrabissa, T. (2017)
    Dynamic clustering of hazard functions: an application to disease progression in chronic heart failure.
    Health Care Manag Sci, 20: 353–364.
  18. Mazzali C, Paganoni AM, Ieva F, Masella C, Maistrello M, Agostoni O, Scalvini S, Frigerio M; 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 Serv Res
    . 8(16): 234.
  19. Masci, C., Ieva, F., Agasisti, T., Paganoni, A.M. (2016)
    Does class matter more than school? Evidence from a multilevel statistical analysis on Italian junior secondary school students,
    Socioecon Plann Sci, 54: 47-57.
  20. Masci, C., De Witte, K., & Agasisti, T. (2016).
    The influence of school size, principal characteristics and school management practices on educational performance: An efficiency analysis of Italian students attending middle schools.
    Socio-Economic Planning Sciences.
  21. Ieva, F., Gale, C.P., Sharples, L.D. (2015)
    Contemporary roles of registries in clinical cardiology: when do we need randomized trials?
    Expert Rev Cardiovasc Ther, 12(12): 1383-1386.
  22. Ieva, F., Paganoni, A.M. (2015)
    Detecting and visualizing outliers in provider profiling via funnel plots and mixed effect models,
    Health Care Manag Sci, 18(2): 166-72.
  23. Mazzali C, Duca P. (2015)
    Use of administrative data in healthcare research.
    Intern Emerg Med. 10(4): 517-24.
  24. Corrada E, Ferrante G, Mazzali C, Barbieri P, Merlino L, Merlini P, Presbitero P. (2014)
    Eleven-year trends in gender differences of treatments and mortality in ST-elevation acute myocardial infarction in northern Italy, 2000 to 2010.
    Am J Cardiol, 114(3): 336-41.