9-12 August 2011
Organisers: Barbara Bogacka (Queen Mary) and Sergei Leonov (GlaxoSmithKline)
in association with the Newton Institute programme Design and Analysis of Experiments
(18 July - 21 December 2011)
Mixed effects non-linear and generalized linear models have recently received a considerable interest with respect to modelling issues and statistical analysis. However, the theory of optimum design for such models has got somewhat less attention in the statistical literature. In 2006 a small meeting, Population Optimum Design of Experiments (PODE) started a series of annual workshops dedicated to the theory and applications of design of experiments for PK/PD mixed models, see http://www.maths.qmul.ac.uk/~bb/PODE/PODE. However, the theory of design for mixed-effects models has been developed independently of any applications as well as for other specific problems, for example choice experiments. Hence, we would like to get together a wider group of those interested in the area of design of experiments for mixed-effects generalized linear models and non-linear models, to share their experience and to further the theory.
Optimum design theory cannot develop without a good knowledge of statistical issues in modelling, estimation and hypothesis testing. Hence, we plan to have talks in these topics together with talks on experimental design. We plan to include PODE in the workshop and have talks in the area of optimum design for population PK/PD models. This will be the last day of the workshop, that is, Friday 12th of August.
We will have dedicated one-hour lectures, invited and contributed talks, poster sessions as well as a lot of time for informal discussions.