Jesus Lopez-Fidalgo/Juan Manuel Rodríguez-Díaz/Bernard Torsney: mODa 8 - Advances in Model-Oriented Design and Analysis (kartoniertes Buch)

InhaltsangabeRecruitment in Multicentre Trials: Prediction and Adjustment.- Optimal Design of Pharmacokinetic Studies Described by Stochastic Differential Equations.- Comparisions of Heterogeneity: a Nonparametric Text for the Multisample Case.- On Synchronized Permutation Tests in Two-Way ANOVA.- Optimal Three-Treatment Response-Adaptive Designs for Phase III Clinical Trials with Binary Responses.- One-Half Fractions of a 23 Experiment for the Logistic Model.- Bayes Estimators of Covariance Parameters and the Influence of Designs.- Optimum Design for Correlated Fields via Covariance Kernel Expansions.- Generalized Probit Model in Design of Dose Finding Experiments.- Optimal Design of Bell Experiments.- A Comparison of Efficient Designs for Choices Between Two Options.- D-opimal Designs for Logistic Regression in Two Variables.- Design of Experiments for Extreme Value Distributions.- A Model Selection Algorithm for Mixture Experiments Including Process Variables.- D-optimal Desgins for Nonlinear Models Possessing a Chebyshev Property.- A New Tool for Comparing Adaptive Designs; A Posteriori Efficiency.- Optimal Cutpoint Determination: The Case of One Point Design.- D-Optimal Desgins for Regression Models with Length-Biased Poisson Response.- Efficient Sampling Windows for Parameter Estimation in Mixed Effects Models.- Quantile and Probability-level Criteria for Nonlinear Experimental Design.- Optimal Designs for the Exponential Model with Correlated Observations.- Determining the Size of Experiments for the One-way ANOVA Model I for Ordered Categorical Data.- Bayesian Ds-Optimal Designs for Generalized Linear Models with Varying Dispersion Parameter.- Some Curiosities in Optimal Designs for Random Slopes.- The Within-B-Swap (BS) Design is A- and D-optimal for Estimating the Linear Contrast for the Treatment Effect in 3-Factorial cDNA Microarray Experiments.- D-optimal Designs and Equidistant Designs for Stationary Processes.- Optimal Designs for Discriminating among Several Non-Normal Models.- Optimal Orthogonal Three-Level Factorial Designs for Factor Screening and Response Surface Exploration.

The volume contains the proceedings of the 8th Workshop on Model-Oriented Design and Analysis. This book offers leading and pioneering work on optimal experimental designs, both from a mathematical/statistical point of view and with regard to real applications. Scientists from all over the world, from Eastern and Western Europe, the USA, Latin-America, Asia and Africa, have contributed to this volume. Primary topics are designs for nonlinear models and applications to experimental medicine.

InhaltsangabeRecruitment in Multicentre Trials: Prediction and Adjustment.- Optimal Design of Pharmacokinetic Studies Described by Stochastic Differential Equations.- Comparisions of Heterogeneity: a Nonparametric Text for the Multisample Case.- On Synchronized Permutation Tests in Two-Way ANOVA.- Optimal Three-Treatment Response-Adaptive Designs for Phase III Clinical Trials with Binary Responses.- One-Half Fractions of a 23 Experiment for the Logistic Model.- Bayes Estimators of Covariance Parameters and the Influence of Designs.- Optimum Design for Correlated Fields via Covariance Kernel Expansions.- Generalized Probit Model in Design of Dose Finding Experiments.- Optimal Design of Bell Experiments.- A Comparison of Efficient Designs for Choices Between Two Options.- D-opimal Designs for Logistic Regression in Two Variables.- Design of Experiments for Extreme Value Distributions.- A Model Selection Algorithm for Mixture Experiments Including Process Variables.- D-optimal Desgins for Nonlinear Models Possessing a Chebyshev Property.- A New Tool for Comparing Adaptive Designs; A Posteriori Efficiency.- Optimal Cutpoint Determination: The Case of One Point Design.- D-Optimal Desgins for Regression Models with Length-Biased Poisson Response.- Efficient Sampling Windows for Parameter Estimation in Mixed Effects Models.- Quantile and Probability-level Criteria for Nonlinear Experimental Design.- Optimal Designs for the Exponential Model with Correlated Observations.- Determining the Size of Experiments for the One-way ANOVA Model I for Ordered Categorical Data.- Bayesian Ds-Optimal Designs for Generalized Linear Models with Varying Dispersion Parameter.- Some Curiosities in Optimal Designs for Random Slopes.- The Within-B-Swap (BS) Design is A- and D-optimal for Estimating the Linear Contrast for the Treatment Effect in 3-Factorial cDNA Microarray Experiments.- D-optimal Designs and Equidistant Designs for Stationary Processes.- Optimal Designs for Discriminating among Several Non-Normal Models.- Optimal Orthogonal Three-Level Factorial Designs for Factor Screening and Response Surface Exploration.