mODa 10 – Advances in Model-Oriented Design and Analysis

Proceedings of the 10th International Workshop in Model-Oriented Design and Analysis Held in Łagów Lubuski, Poland, June 10–14, 2013

Editors:

ISBN: 978-3-319-00217-0 (Print) 978-3-319-00218-7 (Online)

Table of contents (28 chapters)

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  1. Front Matter

    Pages I-XX

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    Book Chapter

    Pages 1-9

    A Convergent Algorithm for Finding KL-Optimum Designs and Related Properties

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    Pages 11-18

    Robust Experimental Design for Choosing Between Models of Enzyme Inhibition

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    Pages 19-26

    Checking Linear Regression Models Taking Time into Account

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    Pages 27-34

    Optimal Sample Proportion for a Two-Treatment Clinical Trial in the Presence of Surrogate Endpoints

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    Pages 35-43

    Estimating and Quantifying Uncertainties on Level Sets Using the Vorob’ev Expectation and Deviation with Gaussian Process Models

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    Pages 45-53

    Optimal Designs for Multiple-Mixture by Process Variable Experiments

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    Pages 55-61

    Optimal Design of Experiments for Delayed Responses in Clinical Trials

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    Pages 63-72

    Construction of Minimax Designs for the Trinomial Spike Model in Contingent Valuation Experiments

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    Pages 73-80

    Maximum Entropy Design in High Dimensions by Composite Likelihood Modelling

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    Pages 81-89

    Randomization Based Inference for the Drop-The-Loser Rule

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    Pages 91-98

    Adaptive Bayesian Design with Penalty Based on Toxicity-Efficacy Response

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    Pages 99-106

    Randomly Reinforced Urn Designs Whose Allocation Proportions Converge to Arbitrary Prespecified Values

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    Pages 107-115

    Kernels and Designs for Modelling Invariant Functions: From Group Invariance to Additivity

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    Pages 117-124

    Optimal Design for Count Data with Binary Predictors in Item Response Theory

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    Pages 125-133

    Differences between Analytic and Algorithmic Choice Designs for Pairs of Partial Profiles

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    Pages 135-143

    Approximate Bayesian Computation Design (ABCD), an Introduction

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    Pages 145-152

    Approximation of the Fisher Information Matrix for Nonlinear Mixed Effects Models in Population PK/PD Studies

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    Pages 153-161

    c-Optimal Designs for the Bivariate Emax Model

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    Pages 163-170

    On the Functional Approach to Locally D-Optimum Design for Multiresponse Models

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    Book Chapter

    Pages 171-178

    Sample Size Calculation for Diagnostic Tests in Generalized Linear Mixed Models

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