Grossi G., Vanciu L., Ballerini V., Braun D., Bargagli Stoffi F. (2025+) Estimating the Effects of Heatwaves on Health: A Causal Inference Framework. arXiv preprint 2511.11433v1.
Ballerini V., Bornkamp B., Mealli F., Wang C., Zhang Y., Mattei A. (2025) Evaluating causal effects on time-to-event outcomes in an RCT in Oncology with treatment discontinuation. Biometrical Journal, 67(7), e70092. doi.org/10.1002/bimj.70092
Ballerini V. (2025) From Association to Causation: The COVID-19 Wildfire Data. In: di Bella, E., Gioia, V., Lagazio, C., Zaccarin, S. (eds) Statistics for Innovation II. SIS 2025. Italian Statistical Society Series on Advances in Statistics. Springer, Cham. doi.org/10.1007/978-3-031-96303-2_18
Ballerini V., Mattei A., Mealli F. (2025) Principal stratum strategy for safety evaluation under principal ignorability. In: Pollice, A., Mariani, P. (eds) Methodological and Applied Statistics and Demography II. SIS 2024. Italian Statistical Society Series on Advances in Statistics. Springer, Cham. doi.org/10.1007/978-3-031-64350-7_33
Ballerini V., Grossi G., (2025) Synthetic control method for clinical trials and precision medicine. In: Pollice, A., Mariani, P. (eds) Methodological and Applied Statistics and Demography IV. SIS 2024. Italian Statistical Society Series on Advances in Statistics. Springer, Cham. doi.org/10.1007/978-3-031-64447-4_27
Ballerini V., Dominici A., Ferracane M. F., Menchetti F., Noirjean S. (2024) Stimulating creativity and grit of high school students with creative STEM activities: an RCT with noncompliance. Quality & Quantity. Advance online publication, pp. 1-30. doi.org/10.1007/s11135-024-01992-w
Mattei A., Ding P., Ballerini V., Mealli F. (2024) Assessing causal effects in the presence of treatment switching through principal stratification. Bayesian Analysis, Advance Publication, pp. 1-28. doi.org/10.1214/24-BA1425
Avalos-Pacheco A., Ballerini V., Pedone M., Müller P. (2023) Contributed discussion: "Causal Inference Under Mis-Specification: Adjustment Based on the Propensity Score (with Discussion)", Bayesian Analysis, 18(2), 680-682.
Ferracane M. F., Ballerini V., De Falco A., Dominici A., Menchetti F., Noirjean S. (2022) Preparing students for the digital era: lessons learned from FabLabs in school. Proceedings of the Fab 17 Research Papers Stream, Hogeschool Rotterdam, Rotterdam, The Netherlands, pp. 161-175. doi:zenodo.org.10.5281/zenodo.7432126
Beraldo D., Svensson N., Milan S., Braito L., Ballerini V., Bocci C., Rocco E. (2025). Novel and Non-Traditional Data for the Study of Sustainability Transitions. In: Biggeri, M., Ferrannini, A. (Eds.) Navigating Transitions to Sustainable Human Development: Frameworks, Evidence and Policies. Edward Elgar Publishing Ltd. Forthcoming.
Ballerini V., Di Zio M., Liseo B., Toti S. (2025) Combining administrative and survey data to correct coverage errors in register-based statistics: a Bayesian approach. Journal of Official Statistics, 41(2), 598-618. doi.org/10.1177/0282423X241312739
Ballerini V., Liseo B. (2024) Inferring a population composition from survey data with nonignorable nonresponse: Borrowing information from external sources. Journal of Survey Statistics and Methodology. Advance online publication, pp. 1-20. doi.org/10.1093/jssam/smae041
Ballerini V.., Seri E. (2024) A quantitative investigation of immigrants integration and detention in Europe. Quality & Quantity. Advance online publication, pp. 1-22. doi.org/10.1007/s11135-024-01926-6
Braito L., Ballerini V., Bocci C., Rocco E. (2024) “Integrating traditional and innovative data sources”. Report for the European Commission, SPES Project - Horizon. Available here
Ballerini V. and Braito L. (2024) The growth of new researchers in the era of new data sources. The Survey Statistician, 89, pp. 68-73. Read it here
Ballerini V., Liseo B. (2022) Fisher's noncentral hypergeometric distribution for population size estimation, in Balzanella A., Bini M., Cavicchia C. and Verde R. (Eds.) Book of short Paper SIS 2022, Pearson. ISBN-9788891932310
Ballerini V. (2021) Fisher's noncentral hypergeometric distribution and population size estimation problems, Rome, Sapienza University. You can read it here
Ballerini V. (2020) Capture-recapture models for official statistics in presence of out-of-scope units: an overview, Annali MEMOTEF 2020, pp. 15-32. doi:10.13133/2611-6634/504
Ballerini V. Bloise F., Briscolini D., Raitano M. (2018) Data Integration in Social Sciences: the earnings’ international mobility problem, in Abbruzzo A., Brentari E., Chiodi E. and Piacentino D. (Eds.) Book of short Papers SIS 2018, Pearson. ISBN-9788891910233. Read it here