Publications

Papers in Peer Reviewed International journals

1. Pratesi, M., Quattrociocchi, L., Bertarelli, G., Gemignani, A. & Giusti, C. (2020). Spatial Distribution of Multidimensional Educational Poverty in Italy using Small Area Estimation. Social Indicators Research. https://doi.org/10.1007/s11205-020-02328-5(A-GEV for SECS-S/01).
2. Bertarelli, G., Chambers, R. & Salvati, N. (2020).Outlier robust small domain estimation via bias correction and robust bootstrapping. Statistical Methods & Applications. https: //doi.org/10.1007/s10260-020-00514-w(A-GEV for SECS-S/01).
3. Bertarelli, G., Ranalli, M. G., Bartolucci, F., D’Alò, M. & Solari, F.(2018). Small area estimation for unemployment using latent Markov models. Survey Methodology, 44(2),167-192. (A-GEV until 2018 for SECS-S/01)
4. Chiavarini, M., Bertarelli, G., Minelli, L., & Fabiani, R. (2017). Dietary intake of meat cooking related mutagens (HCAs) and risk of colorectal adenoma and cancer: A systematic review and meta analysis. Nutrients, 9(5), 514. https://doi.org/10.3390/nu9050514.
5. Fabiani, R.; Minelli, L.; Bertarelli, G.; Bacci, S. (2016). A Western Dietary Pattern Increases Prostate Cancer Risk: A Systematic Review and Meta-Analysis. Nutrients, 8(10): 626. https: //doi.org/10.3390/nu8100626.
6. Pietrantonio, F.; Biondani, P.; Milione, M.; Melotti, F.; A.; Fantini, F.; Bertarelli, G.; et al. (2013). Lack of Bax expression is associated with irinotecan-based treatmentactivity in advanced colorectal cancer patients. Clinical and Translational Oncology, 15(7): 582-586. https://doi.org/10.1007/s12094-012-0971-3.
7. Pietrantonio, F.; Biondani, P.; Ciurlia, E.; Fanetti, G.; Tessari, A.; Bertarelli, G.; et al. (2013). Role of BAX for outcome prediction in gastrointestinal malignancies. Medical Oncology, 30(3):1-7. https://doi.org/10.1007/s12032-013-0610-z.
8. Bampo, C.; Alessi, A.; Fantini, S.; Bertarelli, G.; et al. (2013). Is the standardized uptake value of FDG-PET/CT predictive of pathological complete response in locally advanced rectal cancer treated with capecitabinebased neoadjuvant chemoradiation?. Oncology, 84(4):191-199.
https://doi.org/10.1159/000345601.
9. Crescenti, A.; Borghi, G.; Bertarelli, G.; et al. (2011). Intraoperative used of tranexamic acid to reduce transfusion rate in patients undergoing radical retropubic prostatectomy: double blind, randomised, placebo controlled trial, BMJ, 343, d5701. doi:https://doi.org/10.1136/bmj.d5701. (A-GEV until 2018 for SECS-S/01).

Chapters in Books (peer-reviewed)

1. Bertarelli, G., D’Agostino, A. , Giusti, C & Pratesi, M. Measuring Educational Poverty in Italy: a Multidimensional and Fuzzy Approach. Accepted to be published in Fuzzy Multidimensional Approach in Social Science. Routledge, Taylor & Francis.
2. Bertarelli, G., Schirripa Spagnolo, F., Salvati, N. & Pratesi, M. Small area estimation of agricultural data. Accepted to be published in Spatial Econometric Methods in Agricultural Economics Using R, CRC press.
3. Crippa, F., Mecatti, F. & Bertarelli, G. Modeling Gender (im)balance in the Big Data era: an approach with latent variables. Accepted to be published (Publication scheduled for September.) in Pathways between Social Science and Computational Social Science: Theories, Methods and Interpretations Springer Volume in “Computational Social Science”.
4. Bertarelli, G., Crippa, F., & Mecatti, F. (2018). Measuring Latent Variables in Space and/or Time: A Gender Statistics Exercise. In Demography and Health Issues: Population Aging, Mortality and Data Analysis (pp. 133-142). Springer Volume in “Demographic Methods and Health Issues”.
5. Bertarelli, G., Corbella, A., Di Iorio, J., Gorshechnikova, A. & Scott, M. (2018). Curve Clustering for Brain Functional Activity and Synchronization. In: Canale A., Durante D., Paci L., Scarpa B. (eds) Studies in Neural Data Science. START UP RESEARCH 2017. Springer Proceedings in Mathematics & Statistics, vol 257. Springer, Cham. https://doi.org/10.1007/978-3-030-00039-4_5

National and International Proceedings (peer-reviewed)

1. Bertarelli, G., Crippa, F., & Mecatti, F. (2017). A latent Markov model approach for measuring national gender inequality. In SIS 2017 Statistics and Data Science: new challenges, new generations June 28-30 (pp. 157-160). Firenze University Press. e-ISBN:978-88-6453-521-0.
2. Bertarelli, G., Crippa, F., & Mecatti, F. (2017). Measuring Latent Variables in Space and/or Time. A Latent Markov Model Approach. In 17th Applied Stochastic Models and Data Analysis International Conference 6-9 June. ISAST: International Society for the Advancement of Science and Technology.
3. Zambon, M.; Bertarelli, G.; Landoni, G.; et al.(2012). Risk factor for the development of ventilator associated pneumonia after cardiac surgery, Intensive Care Medicine, 38:233-239.