Publications
Publications
E. Listorti, M. Silan, E. Ferracin, M. Di Martino, G. Costa (2024), “Spouses’ Health: What Happens Beyond the Widowhood Effect? ” Journal of Family Issues, 0192513X241236549 (https://doi.org/10.1177/0192513X241236549)
M. Silan, P. Belloni, G. Boccuzzo (2023), “Identification of neighborhood clusters on data balanced by a poset-based approach.” Statistical Methods & Applications, 32, 1295–1316 (https://doi.org/10.1007/s10260-023-00695-0)
G. Boccuzzo, M. Silan, A. Michieletto, E. Rovai, M.E. Tamang, V. Bressan, P. Golin, L. Benacchio (2023), “YOUNG50 - effectiveness of the Italian CARDIO50 best practice transferred to other EU Member States” European Journal of Preventive Cardiology, Volume 30 (Supplement_1), June 2023, zwad125.208, (https://doi.org/10.1093/eurjpc/zwad125.208)
M. Silan, G. Boccuzzo, B. Arpino (2021), “Matching on poset-based Average Rank for Multiple Treatments (MARMoT) to compare many unbalanced groups”. Statistics in Medicine, 40(28), 6443-6458 (https://doi.org/10.1002/sim.9192)
A. Osterrieder, G. Cuman, W. Pan-ngum, P. K. Cheah, P. K. Cheah, P. Peerawaranun, M. Silan, ... & P. Y. Cheah (2021), “Economic and social impacts of COVID-19 and public health measures: results from an anonymous online survey in Thailand, Malaysia, the United Kingdom, Italy and Slovenia”. BMJ open, 11(7), e046863. (http://dx.doi.org/10.1136/bmjopen-2020-046863)
M. Silan, B. Arpino, G. Boccuzzo (2020), “Evaluating inverse propensity score weighting in the presence of many treatments. An application to the estimation of the neighbourhood effect”. Journal of Statistical Computation and Simulation, 91(4), 836-859. (https://doi.org/10.1080/00949655.2020.1832092)
M. Silan, G. Signorin, E. Ferracin, E. Listorti, T. Spadea, G. Costa, G. Boccuzzo (2020), “Construction of a frailty indicator with partially ordered sets: a multiple outcome proposal based on administrative healthcare data”. Social Indicators Research, 160(2), 989-1017. (https://doi.org/10.1007/s11205-020-02512-7)
W. Pan-ngum, T. Poomchaichote, G. Cuman, P.K. Cheah, N. Waithira, M. Mukaka, B. Naemiratch, R. Chanviriyavuth, S. Asarath, S. Ruangkajorn, M. Silan, S. Stoppa, G. Dalla Zuanna, D. Ongkili, P. K. Cheah, A. Osterrieder, M. Schneiders, C.R.S. Mackworth-Young, P.Y. Cheah (2020), “Social, ethical and behavioural aspects of COVID-19”. Wellcome Open Res 2020, 5:90 (https://doi.org/10.12688/wellcomeopenres.15813.1)
M. Silan, G. Caperna, G. Boccuzzo (2019), “Quantifying frailty in individuals at an Italian Local Health Unit: A proposal based on partially ordered sets”. Social Indicators Research, 146(3), 757-782
P. Belloni, M.Silan (2024), “Prediction of Italians’ sentiment during the first COVID-19 lockdown through a weighted random forest balanced with SMOTE algorithm”. In: G. Giordano, M. Misuraca, New Frontiers in Textual Data Analysis, pp. 227-238, Springer, Cham ISBN: 978-3-031-55916-7
G. Boccuzzo, L. Gargiulo, L. Iannucci, M. Silan, G. Costa (2021), “La salute degli anziani tra prospettive di resilienza e fragilità”. In: F. C. Billari, C. Tomassini, Rapporto sulla popolazione. L’italia e le sfide della demografia, pp. 213-237, Il Mulino, Bologna. ISBN: 978-88-15-29209-4
L. Perini, E. Restiglian, M. Silan (2016), “Measuring Gender Equality in Academia: several definitions”. In: S. Badaloni and L. Perini, A model for building a Gender Equality Index for academic institutions, pp. 31-37, Padova University Press. ISBN: 978- 88-6938-098-3
G. Boccuzzo, I. Rocco, M. Silan, S. Badaloni (2016), “Methodology of the System of Indicators”. In: S. Badaloni and L. Perini, A model for building a Gender Equality Index for academic institutions, pp. 59-79, Padova University Press. ISBN: 978- 88-6938-098-3
M. Silan, G. Boccuzzo (2023), “Gender INequality Indicator for Academia (GINIA)”. In: E. Di Bella, L. Fabbris, C. Lagazio, Data-Driven Decision Making - Book of short papers, Firenze University Press | Genova University Press, pp. 311-316, ASA Conference 2022 - Data-Driven Decision Making, Genoa, Italy. ISBN 979-12-215-0106-3
M. Silan, R. Bellide (2023), “How Italians coped with COVID-19 lockdown: evidence from a survey promoted through social networks.” In: E. Di Bella, L. Fabbris, C. Lagazio, Data-Driven Decision Making - Book of short papers, Firenze University Press | Genova University Press, pp. 41-46, ASA Conference 2022 - Data-Driven Decision Making, Genoa, Italy. ISBN 979-12-215-0106-3
P. Belloni, M. Silan, G. Cuman (2022), “Fake news spreading and sentiment of Italians during the first COVID-19 lockdown.” In: M. Misuraca, G. Scepi, M. Spano, Proceedings of the 16th International Conference on Statistical Analysis of Textual Data (Volume 1), Vadistat Press, pp.104-110, 16th International Conference on Statistical Analysis of Textual Data, Naples, Italy. ISBN: 979-12-80153-30-2
M. Silan (2022), “Socioeconomic and spatial stratification of frailty in the older population.” In: A. Balzanella, M. Bini, C. Cavicchia, R. Verde, Book of the Short Papers SIS 2022, Pearson, pp.229-240, 51th Scientific meeting of the Italian Statistical Society, Caserta, Italy. ISBN: 9788891932310
S. Manzella, M. Silan (2022), “The role of health conditions in the relationship between socio-economic status and well-being: the counterfactual approach in mediation models.” In: A. Balzanella, M. Bini, C. Cavicchia, R. Verde, Book of the Short Papers SIS 2022, Pearson, pp.1307-1312, 51th Scientific meeting of the Italian Statistical Society, Caserta, Italy. ISBN: 9788891932310
M. Silan, R. Brocco, G. Boccuzzo (2021), “A composite indicator to measure frailty using administrative healthcare data.” In: C. Perna, N. Salvati, F. Schirripa Spagnolo, Book of Short Papers SIS 2021, Pearson, pp.199-204, 50th Scientific meeting of the Italian Statistical Society, Pisa, Italy. ISBN: 9788891927361
Calore A, Belloni P, Silan M (2024). MARMoT: Matching on Poset-Based Average Rank for Multiple Treatments (MARMoT). R package version 0.0.4, https://CRAN.R-project.org/package=MARMoT.
M. Silan (2019), “Propensity Score Techniques in Multiple Treatments Framework: the Estimation of Neighbourhood Effect”, PhD Thesis in Statistical Sciences, Department of Statistical Sciences, University of Padova, Italy.