Monica Chiogna tries to contribute, along with her research group, to the development, application and dissemination of biostatistics. The group closely interacts with biomedical researchers and epidemiologists and tries to produce statistical solutions that represent at best known mechanisms of the systems to be understood or predicted. A description of the main research interests of the group can be found here.


  • To Duc, K., Adimari, G., Chiogna, M. (2016). Nonparametric estimation of ROC surfaces under verification bias. Submitted. 

Some publications

  • Salviato, E., Djordjilovic, V., Chiogna, M., Romualdi, C. (2016). simPATHy: a new method for simulating data from perturbed PATHways. Bioinformatics. DOI:10.1093/bioinformatics/btw642
  • To Duc, K., Adimari, G., Chiogna, M. (2016). Bias-corrected Methods for estimating the receiver operating characteristic surface of continuous diagnostic tests. Electronic Journal of Statistics, 10, 3063-3113.
  • Adimari, G., Chiogna, M. (2016). Nonparametric verification bias-corrected inference for the area under the ROC curve of a continuous-scale diagnostic test. Statistics and its Interface. In press.
  • Adimari, G., Chiogna, M. (2015). Nearest-neighbor estimation for ROC analysis under verification Bias. International Journal of Biostatistics, 11, 109-124.
  • Djordjilovic, V., Chiogna, M., Massa, M.S., Romualdi, C. (2015). Graphical modelling for gene set analyis: a critical appraisal. Biometrical Journal, DOI:10.1002/bimj.201300287.
  • Martini, P., Sales, G., Calura, E., Cagnin, S., Chiogna, M., Romualdi, C. (2014). timeClip: pathway analysis for time course data without replicates. BMC Bioinformatics, 15(Suppl 5)S3, DOI:10.1186/1471-2105-15-S5-S3
  • Risso, D., Sales, G., Romualdi, C., Chiogna, M. (2013). A hierarchical Bayesian model for RNA-Seq data. In Grigoletto, M.,Lisi, F., Petrone, S. Complex Models and Computational Methods in Statistics, Contribution to Statistics Series. Springer-Verlag Italia, pp. 215-227. ISBN 978-88-470-2871-5
  • Martini, P., Sales, G., Massa, M.S., Chiogna, M., Romualdi, C. (2012). Along signal paths: an empirical gene set approach. Nucleic Acids research. DOI: 10.1093/nar/gks866.
  • Massa, M.S, Chiogna, M. (2012). Effectiveness of combinations of Gaussian graphical models for model building. Journal of Statistical Computation and Simulation. DOI: 10.1080/00949655.2012.667216.
  • Adimari, G., Chiogna, M. (2012). Jackknife empirical likelihood based confidence intervals for partial areas under ROC curves. Statistica Sinica, 22(4), pp.1457-1478. DOI: 10.5705/ss.2011.088.
  • Chiogna, M., Pauli, F. (2011). Modelling short-term effects of ozone on morbidity: an application to the city of Milano, Italy, 1995–2003. Environmental and Ecological Statistics, 18, 169-184.  
  • Massa, M.S, Chiogna, M., Romualdi, C. (2010). Gene set analysis exploiting the topology of a pathway. BMC System Biology, 4:121, DOI: 10.1186/1752-0509-4-121.  Highly accessed.
  • Chiogna M., Gaetan, C. (2010). An interchangeable approach for modelling spatio-temporal count data. Environmetrics, 21, 849-867.
  • Adimari, G., Chiogna, M. (2010). Simple nonparametric confidence regions for the evaluation of continuous-scale diagnostic tests. The International Journal of Biostatistics, Vol 6, Issue 1, Art 24. DOI: 10.2202/1557-4679.1256
  • Massa, M.S, Chiogna, M., Romualdi, C. (2010). A graphical models approach for comparing gene sets. In: Mantovan, P., Secchi, P.. Complex data modeling and computationally intensive statistical methods, Contribution to Statistics Series. pp 115-122.  ISBN/ISSN: 978-88-470-1385-8.
  • Risso, D., Massa, M.S., Chiogna, M., Romualdi, C. (2009). A modified LOESS normalization applied to microRNA arrays: a comparative evaluation. Bioinformatics, 25: 2685 - 2691.
  • Chiogna, M., Massa, M.S, Risso, D., Romualdi, C. (2009). A comparison on effects of normalisations in the detection of differentially expressed genes. BMC Bionformatics, 10:61. Highly accessed.
  • Chiogna, M., Gaetan G., Masarotto, G. (2008). Automatic Identification of Seasonal Transfer Function Models by means of Iterative Stepwise and Genetic Algorithms. Journal of Time Series Analysis, 1, pp 37-50.
  • Chiogna, M., Gaetan G. (2007). Semiparametric zero-inflated Poisson models with application to animal abundance studies. Environmetrics, 18, pp. 303-314.
  • Adimari, G., Chiogna, M. (2006). Partially parametric interval estimation of Pr(Y>X). Computational Statistics and Data Analysis, 51, pp. 1875-1891.
  • Chiogna, M., Gaetan G. (2005). Mining epidemiological time series: an approach based on dynamic regression. Statistical modelling, 5, pp.309-325.
  • Chiogna, M. (2005). A note on the asymptotic distribution of the maximum likelihood estimator for the scalar Skew-normal distribution. Statistical Methods and Applications, 14, pp.331-341.
  • Chiogna M., Gaetan C. (2005) Additive regression modelling for zero inflated Poisson distribution. In: "Classification and Data Analysis 2005",eds. S. Zani and A. Cerioli, Monte Universita' Parma, Parma, pp. 277-280.
  • Chiogna M., Gaetan C. (2004) Hierarchical space-time modelling of epidemic dynamics: an application to measles outbreaks. Statistical Methods and Applications, vol. 13, n.1 n.1, pp.1-17
  • Adimari, G., Chiogna, M. (2004). A semiparametric approach to the stress-strength problem. Atti della XLII Riunione Scientifica della Societa' Italiana di Statistica, Bari 9-11 giugno 2004, pp 721-724.
  • Chiogna M., Gaetan C. (2004). Mortality and air pollution in Philadelphia: a dynamic generalized linear modelling approach. In: "Advances in Multivariate Data Analysis" eds. H. Bock, M. Chiodi, A. Mineo. Springer, Berlin, pp.233-244.
  • Azzalini, A., Chiogna, M. (2004). Stress-strength model for skew-normal distributions. Metron, LXII, 315-326.
  • Chiogna M., Gaetan C. (2003). Some applications of time-varying coefficient models to count data. In: "Between Data Science and Applied Data Analysis", eds. Schader, M., Gaul, W., Vichi, M., Springer, pp.182-190.
  • Chiogna M., Gaetan C. (2003). Transfer function modelling strategy for combining evidence on air pollution and daily mortality. Atti Convegno SCO2003, Treviso 4-6 settembre 2003, pp.140-145.
  • Chiogna, M., Bellini, P. (2002). Alternative air pollution measures for detecting short-term health effects in epidemiological studies. Environmetrics, 13, pp.55-69.
  • Chiogna M., Gaetan C. (2002). Transfer function analysis of epidemiological data, Atti della XLI Riunione Scientifica della Societa' Italiana di Statistica, Milano 5-7 giugno 2002.
  • Chiogna M., Gaetan C. (2002). Dynamic generalized linear models with application to environmental epidemiology. Applied Statistics, vol. 51, pp. 453-468.
  • Chiogna M., Gaetan C. (2001). A spatio-temporal model for epidemiological data. In: Modelli complessi e Metodi Computazionali Intensivi per la stima e la previsione, (ed. C. Provasi) CLEUP, Padova, 289-294.
  • Chiogna, M., Cortinovis, L., Bellini, P. (2000). Metodi statistici in epidemiologia ambientale: uno studio di associazione tra inquinamento urbano e ospedalizzazione. In Atti della XL Riunione Scientifica della Societa' Italiana di Statistica, pp. 521-524.
  • Chiogna, M. (1998). Some results on the scalar Skew-normal distribution. Journal of the Italian Statistical Society, 1, pp.1-14.
  • Azzalini, A., Chiogna, M. (1997). S-PLUS tools for the analysis of repeated measures data, Computational Statistics, 12, pp.53-66.
  • Chiogna, M. (1997). Probabilistic symbolic classifiers: an empirical comparison from an statistical perspective. In Machine Learning and Statistics: the Interface (ed. G. Nakhaeizadeh, C. Taylor), Wiley, pp.67-86.
  • Pierangeli, G., Parchi, P., Barletta, G., Chiogna, M., Lugaresi, E., Cortelli, P. (1997). Power spectral analysis of heart rate and diastolic blood pressure variability in migraine with and without aura. Cephalalgia, 17, pp.756-760.
  • Chiogna, M. (1996). Metodi computazionali basati su modelli grafici per la gestione di distribuzioni complesse di probabilita', in Atti della Riunione Scientifica della Societa' Italiana della SIS, Tomo n. 1, pp.129-140.
  • Chiogna, M., Spiegelhalter, D.J, Franklin, R.C.K., Bull, C. (1996). An empirical comparison of expert-derived and data-derived classification trees, Statistics in Medicine, 15, pp.157-169.