Publications

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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).
Marostica E, Russu A, De Nicolao G, Gomeni R. Population state-space modelling of patient responses in antidepressant studies. 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.
Russu A, van Zwet E, De Nicolao G, Della Pasqua O. Modelling of the outcome of non-inferiority trials by integration of historical data. Journal of Pharmacokinetics and Pharmacodynamics. 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).
Politi N, Russu A, Fiorentini F, Germani M, Rocchetti M, De Nicolao G, et al. Modeling myelosuppression in patients treated with anticancer drugs. 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, De Nicolao G, Della Pasqua O. Non-inferiority trials: the ethics of prior knowledge in the assessment of efficacy. 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).
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).
Del Bene F, Germani M, De Nicolao G, Magni P, Re C, Ballinari D, et al. A model based approach to the in vitro evaluation of anticancer activity. Cancer Chemotherapy and Pharmacology. 2009;63:827-36.
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).
Germani M, Russu A, Greco G, De Nicolao G, Del Bene F, Fiorentini F, et al. Nonparametric Modeling and Population Approach to the Individualized Correction of the QT Interval. Marseille, France; 2008. (Population Approach Group Europe (PAGE) 17th Meeting).
Del Bene F, Germani M, Fiorentini F, De Nicolao G, Magni P, Rocchetti M. Evaluating the Influence of Different Sources of Variability in the PK/PD Tumor Growth Inhibition (TGI) Model. Marseille, France; 2008.
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.
2007
Rocchetti M, Germani M, Del Bene F, Fiorentini F, Pesenti E, Croci V, et al. Optimising experimental procedures using modeling approach in pharmacology: an example of application to oncology.; 2007.
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.
Germani M, Del Bene F, Fiorentini F, Pesenti E, Croci V, Rocchetti M, et al. Pharmacokinetic-Pharmacodynamic (PK-PD) Modelling of Tumor Growth Inhibition in vivo: a Useful Tool in Drug Discovery and Development.; 2006.
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.