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SUMMARY:Individuals are different: Implications on the design of experimen
 ts - Schwabe\, R (Otto-von-Guericke-Universitt Magdeburg)
DTSTART:20110718T143000Z
DTEND:20110718T153000Z
UID:TALK32074@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:If dynamics is measured repeatedly in biological entities like
  human beings or animals\, the diversity of individuals may have a crucial
  impact on the outcomes of the measurements. An adequate approach for this
  situation is to assume random coefficients for each individual. This lead
 s to non-linear mixed models\, which have attracted an increasing populari
 ty in many fields of applications in recent years due to advanced computer
  facilities. In such studies main emphasis is laid to the estimation of po
 pulation (location) parameters for the mean behaviour of the individuals\,
  but besides that also interest may be in the prediction of further respon
 se for the specific individuals under investigation. Here we will indicate
  the problems and implications of this approach to the design of experimen
 ts and illustrate various consequences by the simple example of an exponen
 tial decay. However\, it remains unsolved\, what is the "correct" measure 
 of performance of a design in this setting. \n
LOCATION:Seminar Room 1\, Newton Institute
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