MAURO GASPARINI

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Professore Ordinario

Direttore (Dipartimento di Scienze Matematiche "G. L. Lagrange")
Componente Comitato di Ateneo per la ricerca (Comitato di Ateneo per la ricerca, il trasferimento tecnologico ed i servizi al territorio)
Componente Commissione Didattica (Commissione Didattica)
Componente Commissione per le strategie per lo sviluppo dell'Ateneo (Commissione per le strategie per lo sviluppo dell'Ateneo)
Componente (Senato Accademico)

+39 0110907546 / 7546 (DISMA)

Pagina web personale

Pubblicazioni più recenti

Khorrami Chokami, A.; Gasparini, M.; Merletti, R. (2021)
Identification of periodic bursts in surface EMG: Applications to the erector spinae muscles of sitting violin players. In: BIOMEDICAL SIGNAL PROCESSING AND CONTROL, vol. 65. ISSN 1746-8094 Download fulltext
Gasparini, M.; Sacchetto, L. (2020)
On the definition of a concentration function relevant to the ROC curve. In: METRON, vol. 78, pp. 271-277. ISSN 0026-1424 Download fulltext
D'Ascenzo, F.; Gili, S.; Bertaina, M.; Iannaccone, M.; Cammann, V. L.; Di Vece, D.; ... (2020)
Impact of aspirin on takotsubo syndrome: a propensity score-based analysis of the InterTAK Registry. In: EUROPEAN JOURNAL OF HEART FAILURE, vol. 22, pp. 330-337. ISSN 1388-9842 Download fulltext
Jaki, T.; Gordon, A.; Forster, P.; Bijnens, L.; Bornkamp, B.; Brannath, W.; Fontana, R.; ... (2019)
Response to comments on Jaki et al., A proposal for a new PhD level curriculum on quantitative methods for drug development. Pharm Stat 17(5):593-606, Sep/Oct 2018., DOI: https://doi.org/10.1002/pst.1873. In: PHARMACEUTICAL STATISTICS, vol. 18, pp. 284-286. ISSN 1539-1604
Mozgunov, P.; Jaki, T.; Gasparini, M. (2019)
Loss functions in restricted parameter spaces and their Bayesian applications. In: JOURNAL OF APPLIED STATISTICS, vol. 46, pp. 2314-2337. ISSN 0266-4763 Download fulltext
Mello-Grand, Maurizia; Gregnanin, Ilaria; Sacchetto, Lidia; Ostano, Paola; Zitella, ... (2019)
Circulating microRNAs combined with PSA for accurate and non-invasive prostate cancer detection. In: CARCINOGENESIS, vol. 40, pp. 246-253. ISSN 0143-3334 Download fulltext
Sacchetto, Lidia; Gasparini, Mauro (2019)
ROC curves with binary multivariate data. In: CLADAG 2019, Cassino, 11 - 13 September 2019, pp. 420-423. ISBN: 978-88-8317-108-6
Saint-Hilary, Gaelle; Barboux, Valentine; Pannaux, Matthieu; Gasparini, Mauro; Robert, ... (2019)
Predictive probability of success using surrogate endpoints. In: STATISTICS IN MEDICINE, vol. 38, pp. 1753-1774. ISSN 0277-6715
Gasparini, M.; Chevret, S. (2019)
Intensive care medicine in 2050: clinical trials designs. In: INTENSIVE CARE MEDICINE. ISSN 0342-4642 Download fulltext
Erhardt, Elvira Maria; Moreno, Ursino; Jeike, Biewenga; Tom, Jacobs; Gasparini, Mauro (2019)
Bayesian knowledge integration for an in vitro–in vivocorrelation model. In: BIOMETRICAL JOURNAL. ISSN 0323-3847 Download fulltext
Jimenez Moro, Jose Luis; Tighiouart, Mourad; Gasparini, Mauro (2019)
Cancer phase I trial design using drug combinations when a fraction of dose limiting toxicities is attributable to one or more agents. In: BIOMETRICAL JOURNAL. ISSN 0323-3847 Download fulltext
Iannaccone, M.; Abdirashid, M.; Annone, U.; Saint-Hilary, G.; Meier, P.; Chieffo, A.; ... (2019)
Comparison between functional and intravascular imaging approaches guiding percutaneous coronary intervention: A network meta-analysis of randomized and propensity matching studies. In: CATHETERIZATION AND CARDIOVASCULAR INTERVENTIONS, vol. 95, pp. 1259-1266. ISSN 1522-1946
Bibbona, E.; Pistone, G.; Gasparini, M. (2018)
The empirical identity process: Asymptotics and applications. In: CANADIAN JOURNAL OF STATISTICS, vol. 46, pp. 656-672. ISSN 1708-945X Download fulltext
Dabbene, I; Bullone, M; Pagliara, E; Gasparini, M; Riccio, B; Bertuglia, A (2018)
Clinical findings and prognosis of interference injuries to the palmar aspect of the forelimbs in Standardbred racehorses: A study on 74 cases. In: EQUINE VETERINARY JOURNAL. ISSN 0425-1644 Download fulltext
Jaki, T; Gordon, A; Forster, P; Bijnens, L; Bornkamp, B; Brannath, W; Fontana, R; ... (2018)
A proposal for a new PhD level curriculum on quantitative methods for drug development. In: PHARMACEUTICAL STATISTICS. ISSN 1539-1604 Download fulltext
Iannaccone, Mario; Saint-Hilary, Gaëlle; Menardi, Davide; Vadalà, Paolo; Bernardi, ... (2018)
Network meta-analysis of studies comparing closure devices for femoral access after percutaneous coronary intervention. In: JOURNAL OF CARDIOVASCULAR MEDICINE. ISSN 1558-2027
Saint-Hilary, Gaelle; Robert, Veronique; Gasparini, Mauro (2018)
Decision-making in drug development using a composite definition of success. In: PHARMACEUTICAL STATISTICS. ISSN 1539-1604 Download fulltext
Gasparini, M.; Bailey, S.; Neuenschwander, B. (2010)
Bayesian dose finding in oncology for drug combinations by copula regression. In: JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, vol. 59, pp. 543-544. ISSN 0035-9254
Gasparini, M.; Nusser, H.; Eisele, J. (2004)
Repeated screening with inspection error and no false positive results with application to pharmaceutical pill production. In: JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS, vol. 53, pp. 51-62. ISSN 0035-9254
Gasparini, M.; Eisele, J. (2001)
Erratum: A curve-free method for phase I clinical trials (Biometrics (JUNE 2000) 56 (609-615)). In: BIOMETRICS, vol. 57, pp. 659-660. ISSN 0006-341X
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Progetti di ricerca finanziati

Scientific impact and technological consequences of the ICH E9(R1), (2019-2022) - Responsabile Scientifico

Ricerca Commerciale. Consulenze e Contratti di ricerca

Paesi coinvolti

  • ITALIA

Enti/Aziende coinvolti

  • GSK VACCINES S.R.L.

Strutture interne coinvolte

Mostra dettagli

Development of SPatial risk assessment framework for Assessing exotic disease incuRsion and spread through Europe, (2016-2018) - Responsabile Scientifico

Ricerca Commerciale. Consulenze e Contratti di ricerca

Paesi coinvolti

  • ITALIA

Enti/Aziende coinvolti

  • ISTITUTO ZOOPROFILATTICO SPERIMENTALE DEL PIEMONTE LIGURIA E VALLE D'AOSTA

Strutture interne coinvolte

Mostra dettagli

IDEAS - Improving Design, Evaluation and Analysis of early drug development Studies, (2015-2018) - Responsabile Scientifico

Ricerca UE (non commerciale). Progetti di Ricerca Europei

Abstract

Drug development is a long and costly process which suffers from the major shortcoming that frequently failure is often onlydetermined during the final stage. Recently, it has been recognised that more care needs to be taken during the early stagesof development to avoid going into lengthy and costly confirmatory studies with ineffective or harmful treatments. To achievethis goal it is essential to implement efficient methods for the design and analysis of such early development studies. Theexpertise in this area is, however, limited at the moment and adequate methodology is only partially available. Using across-sectorial, transnational approach, the IDEAS network brings together leading public and private sector researchers inthe field with ample experience in training to educate, promote and support the future leaders in medical statistics in generaland in the design and analysis of early developmental studies in particular.Within the network, cross-sectorial, transnational teams will support young researchers with individual methodologicalprojects and devise an individually tailored training programme for them. Clinical advisors supplement the input of thesupervisory team and ensure practical relevance and uptake of the methods devised. The training activities are comprised ofa well-rounded mix of specialist, methodological components and generic, transferable skills. A mandatory set ofnetworkwidetraining activities is supplemented by individual training components and cross-sectorial secondments, and particularattention is given to interaction and collaboration between researchers and supervisors across public and private sectorpartners. At the end of their training the researchers will be uniquely qualified with expertise in the field, benefit fromexperience in both public and private sector and can rely on a wide network of experts in the field in the future.

Paesi coinvolti

  • ITALIA

Strutture interne coinvolte

Mostra dettagli

Alcuni problemi statistici esplorativi nello sviluppo clinico e argomenti collegati, (2008-2010) - Responsabile Scientifico

Ricerca Nazionale (non commerciale). Progetti di Ricerca su Fondi Strutturali e Nazionali

Abstract

Some explorative statistical problems inclinical development and related topics

Paesi coinvolti

  • ITALIA

Strutture interne coinvolte

  • Dipartimento di Matematica
Mostra dettagli

Metodi statistici per la sperimentazione di tecniche di genomica comparativa, (2006-2008) - Responsabile Scientifico

Ricerca Nazionale (non commerciale). Progetti di Ricerca su Fondi Strutturali e Nazionali

Abstract

Statistical methods for experimenting with comparative genomics techniques

Paesi coinvolti

  • ITALIA

Strutture interne coinvolte

  • Dipartimento di Matematica
Mostra dettagli

TELERILEVAMENTO DI REFLUI INQUINANTI IN DIVERSE MATRICI AMBIENTALI, (2005-2010) - Responsabile Scientifico

Ricerca Regionale (non commerciale). Progetti di Ricerca su Fondi Strutturali e Nazionali

Paesi coinvolti

  • ITALIA

Enti/Aziende coinvolti

  • Regione Piemonte
  • POLITECNICO DI TORINO - AMMINISTRAZIONE CENTRALE

Strutture interne coinvolte

  • Dipartimento di Automatica Informatica
  • Dipartimento di Matematica
Mostra dettagli

Analisi Bayesiana e modelli grafici per dati di espressione genica, (2003-2005) - Responsabile Scientifico

Ricerca Nazionale (non commerciale). Progetti di Ricerca su Fondi Strutturali e Nazionali

Abstract

Bayesian analysis and graphical models for gene expression data

Paesi coinvolti

  • ITALIA

Strutture interne coinvolte

  • Dipartimento di Matematica
Mostra dettagli

Applicazioni farmaceutiche e ingegneristiche di modelli statistici per il controllo del rischio., (1999-2001) - Responsabile Scientifico

Ricerca Nazionale (non commerciale). Progetti di Ricerca su Fondi Strutturali e Nazionali

Abstract

Pharmaceutical and engineering applications of statistical models for risk control

Paesi coinvolti

  • ITALIA

Strutture interne coinvolte

  • Dipartimento di Matematica
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