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SUMMARY:A general method to determine sampling windows for nonlinear mixed
  effects models - Duffull\, S (Otago)
DTSTART:20110812T134500Z
DTEND:20110812T143000Z
UID:TALK32333@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:Many clinical pharmacology studies require repeated measuremen
 ts to be taken on each patient and analysis of the data are conducted with
 in the framework of nonlinear mixed effects models. It is increasingly com
 mon to design these studies using information theoretic principles due to 
 the need for parsimony because of the presence of many logistical and ethi
 cal constraints. D-optimal design methods are often used to identify the b
 est possible study conditions\, such as the dose and number and timing of 
 blood sample collection. However\, the optimal times for collecting blood 
 samples may not be feasible in clinical practice. Sampling windows\, a tim
 e interval for blood sample collection\, have been proposed to provide fle
 xibility while preserving efficient parameter estimation. Due to the compl
 exity of nonlinear mixed effects models there is generally no analytical s
 olution available to determine sampling windows. We propose a method for d
 etermination of sampling windows based on MCMC sampling techniques. The pr
 oposed method reaches the stationary distribution rapidly and provides tim
 e-sensitive windows around the optimal design points. The proposed method 
 is applicable to determine windows around any continuous design variable f
 or which repeated measures per run are required. This has particular impor
 tance for clinical pharmacology studies.\n
LOCATION:Seminar Room 1\, Newton Institute
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