skip to content

Optimum designs for transform-both-sides nonlinear mixed effects model in the presence of covariates

Thursday 11th August 2011 - 11:45 to 12:30
INI Seminar Room 1
Session Chair: 
G. Rosner
In the early stage of drug developing process, pharmaceutical companies are interested in whether the candidate compounds show interactions with other drugs. Since most of the drugs are metabolized in human liver, these early stage pharmacokinetic experiments are conducted at different levels of concentrations of the compound under study with randomly selected liver tissues. As enzymes play a vital role in metabolizing drugs, examination of association between compound and different enzymes could be useful in understanding the compound's potentiality of adverse drug reactions. Michaelis-Menten model is often used to examine the association between enzymes and compound. In many cases transform-both-sides Michales-Menten model fits pharmacokinetic data well compared to the regular Michaelis-Menten model. In this talk, we will discuss optimum designs for such transform-both-sides Michaelis-Menten model when information on covariates associated with randomly selected liver tissues are available.
The video for this talk should appear here if JavaScript is enabled.
If it doesn't, something may have gone wrong with our embedded player.
We'll get it fixed as soon as possible.
Presentation Material: 
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons