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SUMMARY:Optimum designs for transform-both-sides nonlinear mixed effects m
 odel in the presence of covariates - Latif\, M (Dhaka\, Bangladesh)
DTSTART:20110811T104500Z
DTEND:20110811T113000Z
UID:TALK32327@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:In the early stage of drug developing process\, pharmaceutical
  companies are interested in whether the candidate compounds show interact
 ions with other drugs. Since most of the drugs are metabolized in human li
 ver\, these early stage pharmacokinetic experiments are conducted at diffe
 rent levels of concentrations of the compound under study with randomly se
 lected liver tissues. As enzymes play a vital role in metabolizing drugs\,
  examination of association between compound and different enzymes could b
 e useful in understanding the compound's potentiality of adverse drug reac
 tions. Michaelis-Menten model is often used to examine the association bet
 ween enzymes and compound. In many cases transform-both-sides Michales-Men
 ten model fits pharmacokinetic data well compared to the regular Michaelis
 -Menten model. In this talk\, we will discuss optimum designs for such tra
 nsform-both-sides Michaelis-Menten model when information on covariates as
 sociated with randomly selected liver tissues are available. \n
LOCATION:Seminar Room 1\, Newton Institute
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