_SKIPNAVIGATION
ITA |
ENG
Personale
Recapiti
Pagina Cercachi
Italiano
Pubblicazioni
Insegnamenti
Tematiche di tesi
Marco DORETTI
Ruolo attuale:
Professore Associato
SSD:
STAT-01/A - Statistica
Afferenza organizzativa:
Dipartimento di Statistica, Informatica, Applicazioni 'G. Parenti' (DiSIA)
Recapiti
0552751565
marco.doretti(AT)unifi.it
Marco DORETTI
Pubblicazioni
Legenda
Contributo su rivista |
Articolo su libro |
Libro |
Contributo in atti di convegno (proceeding) |
Brevetto |
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Altro |
Tesi di Dottorato
Doretti, Marco; Montanari, Giorgio E. (2024). Classification and estimation of case-mix adjusted performance indices for binary outcomes. ANNALS OF OPERATIONS RESEARCH, pp. 0-0, ISSN:0254-5330
DOI
Stanghellini, Elena; Doretti, Marco; Tezuka, Taiki (2024). A note on “Simple graphical rules to assess selection bias in general-population and selected-sample treatment effects" by M. B. Mathur and I. Shpitser. AMERICAN JOURNAL OF EPIDEMIOLOGY, pp. 0-0, ISSN:0002-9262
DOI
Doretti, Marco; Genbäck, Minna; Stanghellini, Elena (2024). Mediation analysis with case–control sampling: Identification and estimation in the presence of a binary mediator. BIOMETRICAL JOURNAL, vol. 66, pp. 0-0, ISSN:0323-3847
DOI
De Novellis, G.; Doretti, M.; Montanari, G. E.; Ranalli, M. G.; Salvati, N. (2024). Performance evaluation of nursing homes using finite mixtures of logistic models and M-quantile regression for binary data. STATISTICAL METHODS & APPLICATIONS, vol. 33, pp. 753-781, ISSN:1618-2510
DOI
giorgio eduardo montanari; marco doretti (2023). On the impact of intraclass correlation in the ANVUR evaluation of academic departments. In: Statistical Learning, Sustainability and impact evaluation, Ancona, 21-23 giugno 2023, Pearson, pp. 417-421, ISBN:9788891935618
Accesso ONLINE all'editore
Marco Doretti; Elena Stanghellini; Paolo Berta; Martina Raggi (2022). On path-specific natural effects with a binary outcome and two binary mediators. In: 15th International Conference of the ERCIM (European Research Consortium for Informatics and Mathematics) Working Group on Computational and Methodological Statistics (CMStatistics 2022), Londra, 17-19/12/2022, ECOSTA ECONOMETRICS AND STATISTICS, ISBN:9789925781263
Giorgio E. Montanari; Marco Doretti (2022). A class of case-mix adjusted probability-based indices for performance evaluation. In: IES 2022 Innovation & Society 5.0: Statistical and Economic Methodologies for Quality Assessment, Capua (CE), 27-28 Gennaio 2022, PKE - Professional Knowledge Empowerment s.r.l., pp. 202-207, ISBN:978-88-94593-35-8
Montanari G.E.; Doretti M.; Marino M.F. (2022). Model-based two-way clustering of second-level units in ordinal multilevel latent Markov models. ADVANCES IN DATA ANALYSIS AND CLASSIFICATION, vol. 16, pp. 457-485, ISSN:1862-5347
DOI
Doretti M.; Raggi M.; Stanghellini E. (2022). Exact parametric causal mediation analysis for a binary outcome with a binary mediator. STATISTICAL METHODS & APPLICATIONS, vol. 31, pp. 87-108, ISSN:1618-2510
DOI
Raggi M.; Stanghellini E.; Doretti M. (2021). Path analysis for binary random variables. SOCIOLOGICAL METHODS & RESEARCH, pp. 004912412110312-, ISSN:0049-1241
DOI
Giorgio Eduardo Montanari; Marco Doretti (2021). Two case-mix adjusted indices for nursing home performance evaluation. In: SIS 2021, Pisa, 21-25 Giugno 2021, Pearson Italia, pp. 1313-1318, ISBN:9788891927361
Doretti marco; Montanari Giorgio Eduardo (2020). Estimation of the treatment effect variance in a difference-in-differences framework. In: 50th Meeting of the Italian Statistical Society can not be held in June 2020, Pisa, June 2020 (cancelled for COVID 19), Pearson Italia1224-1229, ISBN:9788891910776
Ferrucci Luca; Montanari Giorgio; Doretti Marco (2020). La valutazione delle politiche industriali per la ricerca scientifica applicata e l’innovazione nelle PMI: gli effetti economici firm-level nell’esperienza umbra. PICCOLA IMPRESA, pp. 63-80, ISSN:0394-7947
DOI
Marco Doretti (2019). A note on marginal effects in logistic regression with independent covariates. In: Conference of the Italian Statistical Society “Smart Statistics for Smart Applications”, Milano, June, 18-21, 2019, Giuseppe Arbia, Stefano Peluso, Alessia Pini, Giulia Rivellini, pp. 837-842, ISBN:9788891915108
giorgio eduardo Montanari; marco doretti; nicola falocci (2019). CAPITOLO 5. Analisi statistica dei POR FESR come strumento di attuazione della Legge regionale umbra n. 25 del 2008. In: Montanari Giorgio Eduardo Luca Ferrucci Simonetta Silvestri. Le politiche per la competitività e l'innovazione delle imprese in Umbria. Una valutazione di impatto, pp. 165-222, MIlano: Franco Angeli, ISBN:9788891797520.
Accesso ONLINE all'editore
Montanari GE; Doretti M (2019). Ranking Nursing Homes’ Performances Through a Latent Markov Model with Fixed and Random Effects. SOCIAL INDICATORS RESEARCH, vol. 146, pp. 307-326, ISSN:0303-8300
DOI
Accesso ONLINE all'editore
Stanghellini Elena; Doretti Marco (2019). On marginal and conditional parameters in logistic regression models. BIOMETRIKA, vol. Volume 106,, pp. 732-739, ISSN:0006-3444
DOI
Accesso ONLINE all'editore
giorgio eduardo montanari; marco doretti (2019). A note on the Difference in Differences method with multiplicative effects and unequal size units. In: Statistical evaluation systems at 360°: techniques, technologies and new frontiers, Roma, 4-5 luglio 2019, Cuzzolin, pp. 289-292, ISBN:978-88-86638-65-4
giorgio eduardo montanari; marco doretti; nicola falocci (2019). CAPITOLO 7. Studi di valutazione controfattuale. In: Montanari Giorgio Eduardo Luca Ferrucci Simonetta Silvestri. Le politiche per la competitività e l'innovazione delle imprese in Umbria. Una valutazione di impatto, pp. 255-294, MIlano: Franco Angeli, ISBN:9788891797520.
Accesso ONLINE all'editore
Doretti M; Geneletti S; Stanghellini E (2019). Missing data: A unified taxonomy guided by conditional independence. , ISBN:978-9963-2227-8-0
giorgio eduardo montanari; marco doretti (2019). Latent Markov models with discrete separate cluster random effects on initial and transition probabilities. In: Smart Statistics for Smart Applications, Milano, 18-21 gugno 2019, Pearson Italia, pp. 991-996, ISBN:9788891915108
Accesso ONLINE all'editore
Marco Doretti; Sara Geneletti; Elena Stanghellini (2018). Missing data: a unified taxonomy guided by conditional independence. INTERNATIONAL STATISTICAL REVIEW, vol. 86, pp. 189-204, ISSN:0306-7734
DOI
Accesso ONLINE all'editore
Alice Cartoni Mancinelli; Cecilia Mugnai; Cesare Castellini; Simona Mattioli; Livia Moscati; Luca Piottoli; Monica Guarino Amato; Marco Doretti; Alessandro Dal Bosco; Elisa Cordovani; Ylenia Abbate; David Ranucci (2018). Effect of transport length and genotype on tonic immobility, blood parameters and carcass contamination of free-range reared chickens. ITALIAN JOURNAL OF ANIMAL SCIENCE, pp. -, ISSN:1828-051X
DOI
Montanari Giorgio Eduardo; Doretti Marco; Bartolucci Francesco (2018). A multilevel latent Markov model for the evaluation of nursing homes' performance. BIOMETRICAL JOURNAL, vol. 60, pp. 962-978, ISSN:0323-3847
DOI
Accesso ONLINE all'editore
MONTANARI, Giorgio Eduardo; DORETTI, MARCO; BARTOLUCCI, Francesco (2017). Statistical assessment of public health care services: a multilevel Markov model. In: 8th Scientific Conference on INNOVATION & SOCIETY Statistical Methods for Evaluation and Quality, Naples Italy, September 6th-7th 2017, Università di Napoli "Federico II", pp. 1-4, ISBN:978-88-8399-107-3
MONTANARI, Giorgio Eduardo; DORETTI, MARCO; BARTOLUCCI, Francesco (2017). An Ordinal Latent Markov model for the evaluation of Health Care services. In: Statistics and Data science: new challenges, new generations, Firenze, Jun 28th-30th 2017, Firenze University Press, pp. 707-712, ISBN:978-88-6453-521-0
Accesso ONLINE all'editore
DORETTI, MARCO; Geneletti, Sara; STANGHELLINI, Elena (2016). Tackling non-ignorable dropout in the presence of time varying confounding. JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, vol. 65, pp. 775-795, ISSN:0035-9254
DOI
Accesso ONLINE all'editore
Marco DORETTI
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Tematiche di tesi