R. Barone, A. Farcomeni, M. Mezzetti Latent Markov Time-Interaction Processes, Journal of Computational and Graphical Statistics, (2024)
M. Mezzetti and I. Negri. Hierarchical Bayesian model to estimate and compare research productivity of Italian academic statisticians Scientometrics, 129(12), pp. 7443–7474, e01351 (2024)
M. Mezzetti, C. Ryan, P. Balestrucci, F. Lacquaniti and A. Moscatelli, A. Bayesian hierarchical models and prior elicitation for fitting psychometric functions. Frontiers in Computational Neuroscience, 17,1108311. (2023)
M. Mezzetti, D. Borzelli, A. d’Avella A Bayesian approach to model individual differences and to partition individuals: case studies in growth and learning curves Statistical Methods and Applications 1-27 (2022)
S. Leorato and M. Mezzetti. Bayesian factor model for spatial panel data with a separable covariance approach. Bayesian Analysis, 1(1): 1-31 (2021) doi: 10.1214/20-BA1215
M. Mezzetti, D. Palli, F. Dominici. Combining individual and aggregated data to investigate the role of socioeconomic disparities on cancer burden in Italy. Statistics in Medicine. 39:26-44 (2020)
D. Angilecchia, M. Mezzetti,A. Chiarotto, A. Daugent, G. Giovannico and F. Bonetti Development, validity and reliability of the Italian version of the Copenhagen neck functional disability scale. BMC Musculoskelet Disord. 29(1):409 (2018) doi: 10.1186/s12891-018-2332-z.
F. Ceccarelli, B. La Scaleia, M. Russo, B. Cesqui, S. Gravano, M. Mezzetti, A. Moscatelli, A. d'Avella, F. Lacquaniti and M. Zago Rolling Motion Along an Incline: Visual Sensitivity to the Relation Between Acceleration and Slope. Front Neurosci 12:406 (2018) doi: 10.3389/fnins.2018.00406. eCollection 2018.
M.E. Strauss, M. Mezzetti and S. Leorato. Is a matrix exponential speci.cation suitable for the modeling of spatial correlation structures? Spatial Statistics, 20, 221-243 (2017).
S. Leorato and M. Mezzetti. Spatial Panel Data Model with Error Dependence: A BayesianSeparable Covariance Approach Bayesian Analysis, 11, 1035-1069 (2016).
B. Cesqui, M. Mezzetti, F. Lacquaniti and A. d'Avella. Gaze behavior in one-handed catchingand its relation with interceptive performance: what the eyes can't tell. Plos One 10(3), e0119445 (2015)
4. L. Ventura and M. Mezzetti. Estimating cancer incidence using a Bayesian back-calculation approach" Statistics in Medicine, 33, 25, 4453-4468. (2014)
K.R. Yabroff, S. Francisci, A. Mariotto, M. Mezzetti, A. Gigli, and J. Lipscomb."Advancing Comparative Studies of Patterns of Care and Economic Outcomes in Cancer: Challenges and Opportunities" J Natl Cancer Inst Monogr (46) 1-6 (2013)
J. Lipscomb, K.R. Yabroff, M.C. Hornbrook, A. Gigli, S. Francisci, M. Krahn, G. Gatta, A. Trama, D. P. Ritzwoller, C. Angiolini, E. Crocetti, F. Giusti, S. Guzzinati, M. Mezzetti, G. Miccinesi, and A. Mariotto. "Comparing Cancer Care, Outcomes, and Costs Across Health Systems: Charting the Course" J Natl Cancer Inst Monogr (46) 124-130 (2013)
S. Francisci, S. Guzzinati, M. Mezzetti, E. Crocetti, F. Giusti, G. Miccinesi, E. Paci, C. Angiolini and A. Gigli" Cost profiles of colorectal cancer patients in Italy based on individual patterns of care", BMC Cancer, 13:329 (2013)
S.Francisci, K. R. Yabroff, A. Gigli, A. Mariotto,M. Mezzetti and J. Lipscomb " Advancing the science of cancer cost measurement: challenges and opportunities", Annali Istituto Superiore Sanita' 2013, 49, 1: 73-78 (2013)
A. Moscatelli, M. Mezzetti and F. Lacquaniti " Modelling Psychophysical Data at the Population-Level: The Generalized Linear Mixed ",Journal of Vision 12,26,1-17 (2012)
M. Mezzetti. "Bayesian factor analysis for spatially correlated data: application to cancer incidence data in Scotland ",Statistical Methods & Applications. 21, 49-74 (2012)
L. Ngo, L. M. Ryan, M. Mezzetti, F. Y. Bois and T.-J. Smith. "Estimating metabolic rate for butadiene at steady state using a Bayesian physiologically-based pharmacokinetic model", Environmental and Ecological Statistics 18, 1, 131-146 (2011)
C. Valim, M. Mezzetti, J. Maquire, M. Urdaneta, D. Wypij. " Estimation of vaccine efficacy in a repeated measures study under heterogeneity of exposure or susceptibility to infection"Philosophical Transactions of The Royal Society A (Math Phys Eng Sci) 366, 2347-2360 (2008).
M.Mezzetti, P.Muliere and P.Bulla. " An application of reinforced urn processes to determining maximum tolerated dose. " Statistics & Probability Letters, 77, 740-747 (2007) .
M. Mezzetti, F. Luscia, L. Molteni. Graphical Models and Customer Satisfaction. Italian Journal of Applied Statistics, 16,1-16, (2005).
M. Mezzetti and F. Billari. "Bayesian correlated factor analysis of socio-demographic indicators " Statistical Methods and Application 14, 223-241 (2005).
P.Boyle, M. Mezzetti, C. La Vecchia, S. Franceschi, A. Decarli and C. Robertson, Contribution of three components to individual cancer risk predicting breast cancer risk in Italy, European Journal of Cancer Prevention, 3, 183-191, (2004).
B.A. Coull, M. Mezzetti, and L.M. Ryan. A Bayesian hierarchical model for risk assessment of methylmercury, Journal of Agricultural, Biological and Environemtal Statistics, 8, 253-270 (2003).
M. Mezzetti, J. Ibrahim, F.Y. Bois, L.M. Ryan, L. Ngo and T.J. Smith. Bayesian Compartmental Model for Evaluation of 1,3 Butadiene Metabolism, Journal of Royal Statistical Society, Series C, 52, 291-305 (2003).