The volume contains the proceedings of the 7th Workshop on Model-Oriented Design and Analysis which has had the purpose of bringing together leading researchers in Eastern and Western Europe for an in-depth discussion of the optimal design of experiments. The papers are representative of the latest developments concerning non-linear models, computational algorithms and important applications, especially to medical statistics.

A Masked Spectral Bound for Maximum-Entropy Sampling.- Some Bayesian Optimum Designs for Response Transformation in Nonlinear Models with Nonconstant Variance.- Extensions of the Ehrenfest Urn Designs for Comparing Two Treatments.- Nonparametric Testing for Main Effects on Inequivalent Designs.- Maximin Optimal Designs for a Compartmental Model.- Optimal Adaptive Designs in Phase III Clinical Trials for Continuous Responses with Covariates.- Optimal Designs for Regression Models with Forced Measurements at Baseline.- Small Size Designs in Nonlinear Models Computed by Stochastic Optimization.- Asymptotic Properties of Biased Coin Designs for Treatment Allocation.- Lower Bounds on Efficiency Ratios Based on Optimal Designs.- On a Functional Approach to Locally Optimal Designs.- Optimal Design Criteria Based on Tolerance Regions.- Simultaneous Choice of Design and Estimator in Nonlinear Regression with Parameterized Variance.- Minimum Entropy Estimation in Semi-Parametric Models: a Candidate for Adaptive Estimation?.- Optimal Designs for Contingent Response Models.- Bayesian D-Optimal Designs for Generalized Linear Models with a Varying Dispersion Parameter.- L-optimum Designs in Multi-factor Models with Heteroscedastic Errors.- Multiplicative Algorithms for Constructing Optimizing Distributions: Further Developments.- Locally Optimal Designs for an Extension of the Michaelis-Menten Model.- Asymptotic Properties of Urn Designs for Three-arm Clinical Trials.- T-Optimum Designs for Multiresponse Dynamic Heteroscedastic Models.- Error Transmission in Mixture Experiments.- Maximum Entropy Sampling and General Equivalence Theory.- Towards Identification of Patient Responses to Anesthesia Infusion in Real Time