Nonlinear mechanistic models for improving the treatment of malaria: Balancing model complexity with statistical rigour

Thursday, 22 August 2013
9:30am - 10:30am
Vernon Collins Theatre, Level 1, Royal Childrens Hospital
Flemington Road
Parkville 3052

Half of the world’s population is exposed to malaria, and with no vaccine for this disease, anti-malarial therapies are the first-line defence against malaria. Mechanistic within host models that characterize the relationship between the anti-malarial drug concentration and parasite-time profile are a valuable tool in the fight to control malaria as these models facilitate decision making regarding the choice of dosing schemes. In this presentation, I will present (i) an overview of the mechanistic within host models that have been developed, (ii) discuss the challenges of fitting these models to clinical data within a formal statistical framework, and present our work regarding (iii) sampling designs for future clinical pharmacokinetic studies and (iv) findings from a simulation study that evaluated the utility of these models.

Prof Julie Simpson

Prof. Julie Simpson

Management Team
Centre for Epidemiology and Biostatistics
University of Melbourne

Julie is a biostatistician at The University of Melbourne and is actively engaged with the international community in population health research. She completed her postgraduate training in statistics at the University of Cambridge (PGrad Dip) and Open University (PhD), UK.

Her research interests include nonlinear mixed-effects modelling of data from pharmacokinetic-pharmacodynamic studies and statistical methods for handling missing data in longitudinal cohorts.

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