Publications

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2013
Germani M, Rocchetti M, Del Bene F, Terranova N, Poggesi I, De Nicolao G, et al. A PK-PD model of tumor growth after administration of an anti-angiogenic agent given alone or in combination therapies in xenograft mice.; 2013. (Population Approach Group Europe (PAGE)).
2011
Russu A, Marostica E, De Nicolao G, Hooker A, Poggesi I, Gomeni R, et al. Integration of response, tolerability and dropout in flexible-dose trials: a case study in depression. Athens, Greece; 2011. (Population Approach Group Europe (PAGE) 20th Meeting).
Russu A, De Nicolao G, Poggesi I, Neve M, Gomeni R. Bayesian population approaches to the analysis of dose escalation studies. Computer Methods and Programs in Biomedicine. 2011.
Russu A, Poggesi I, Gomeni R, De Nicolao G. Bayesian population modelling of Phase I dose escalation studies: Gaussian process vs parametric approaches. IEEE Transactions on Biomedical Engineering. 2011.
2010
Russu A, Marostica E, De Nicolao G, Hooker A, Poggesi I, Gomeni R, et al. Integrated model for clinical response and dropout in depression trials: a state-space approach. Berlin, Germany; 2010. (Population Approach Group in Europe (PAGE) 19th Meeting).
Russu A, De Nicolao G, Poggesi I, Gomeni R. Dose escalation studies in Phase I clinical trials: a comparison among Bayesian population approaches. Turin, Italy; 2010. (Congresso Nazionale di Bioingegneria 2010).
Marostica E, Russu A, De Nicolao G, Poggesi I, Gomeni R, Zamuner S. A state-space approach to disease and dropout modelling in phase II clinical trials. Turin, Italy; 2010. (Congresso Nazionale di Bioingegneria 2010).
Russu A, De Nicolao G, Poggesi I, Gomeni R. Development and comparison of Bayesian population models for Phase I dose escalation. Houston, TX, USA; 2010. (Bayesian Biostatistics Conference 2010).
Russu A, Marostica E, De Nicolao G, Poggesi I, Gomeni R, Zamuner S. Disease and dropout modelling in depression trials: a state-space approach. Noordwijkerhout, The Netherlands; 2010. (6th International Symposium on Measurement and Kinetics of In Vivo Drug Effects).
Terranova N, Gomeni R, Poggesi I, Magni P. A Data Mining approach to evaluate the performance of recruitment centres in antidepressant drug clinical trials.; 2010. (Congresso Nazionale di Bioingegneria).
2009
Russu A, De Nicolao G, Poggesi I, Gomeni R. Dose escalation studies: a comparison among Bayesian models. St. Petersburg, Russia; 2009. (Population Approach Group Europe (PAGE) 18th Meeting).
2008
Russu A, De Nicolao G, Poggesi I, Neve M, Iavarone L, Gomeni R. Dose escalation studies: A comparison between NONMEM and a novel Bayesian tool. Marseille, France; 2008. (Population Approach Group Europe (PAGE) 17th Meeting).
Magni P, Germani M, De Nicolao G, Bianchini G, Simeoni M, Poggesi I, et al. A mininal model of tumor growth inhibition. IEEE Transaction on Biomedical Engineering. 2008;55:2683-90.
2006
Magni P, Simeoni M, Poggesi I, Rocchetti M, De Nicolao G. A mathematical model to study the effects of drugs administration on tumor growth dynamics. Mathematical Biosciences. 2006;2:127-51.
Nicoalo DG, Magni P, Bianchini G, Germani M, Simeoni M, Poggesi I, et al. A minimal model describing the effect of drug administration on tumor growth dynamics.; 2006.
2004
Simeoni M, Magni P, Cammia C, Nicoalo DG, Croci V, Pesenti E, et al. Predictive pharmacokinetic-pharmacodynamic modeling of tumor growth kinetics in xenograft models after administrations of anticancer agents. Cancer Research. 2004;64:1094-101.
2003
Magni P, Bellazzi R, De Nicolao G, Simeoni M, Germani M, Poggesi I, et al. A Bayesian approach to non-parametric-AUC estimation in population studies.; 2003.
Germani M, Magni P, De Nicolao G, Poggesi I, Marsiglio A, Ballinari D, et al. In vitro cells growth pharmacodynamic studies: a new nonparametric approach to determine the relative importance of drug concentration and treatment time. Cancer Chemotherapy and Pharmacology. 2003;52:507-13.
Germani M, Magni P, De Nicolao G, Poggesi I, Rocchetti M. Nonparametric modelling of in vitro antitumor pharmacodynamic studies to optimize drug concentration and treatment time. Capasso V, editor.; 2003.
2002
Magni P, Bellazzi R, De Nicolao G, Poggesi I, Rocchetti M. Nonparametric AUC estimation in population studies with incomplete sampling: a Bayesian approach. Journal of Pharmacokinetics and Pharmacodynamics. 2002;29:445-71.
Magni P, Germani M, De Nicolao G, Poggesi I, Rocchetti M. Nonparametric modelling of in vitro antitumor pharmacodynamic studies to optimize drug concentration and treatment time.; 2002.
2000
Magni P, Bellazzi R, De Nicolao G, Rocchetti M, Poggesi I. A Bayesian nonparametric approach to AUC determination in population studies. Carson E, Salzsieder E, editors.; 2000.