This volume contains pioneering contributions to both the theory and practice of optimal experimental design. Topics include the optimality of designs in linear and nonlinear models, as well as designs for correlated observations and for sequential experimentation. There is an emphasis on applications to medicine, in particular, to the design of clinical trials. Scientists from Europe, the US, Asia, Australia and Africa contributed to this volume of papers from the 11th Workshop on Model Oriented Design and Analysis.
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Joachim Kunert is Professor of Statistics with Applications in Natural Sciences at TU Dortmund University. He has published over 60 papers in scientific journals and served as editor of two special issues and one book.
Christine Müller is Professor of Statistics with Applications in Engineering Sciences at TU Dortmund University. She is author and coauthor of two books and has published over 60 papers in scientific journals. She is coordinating editor and editor-in-chief of Statistical Papers and the president of the Deutsche Arbeitsgemeinschaft Statistik, an umbrella society of German statistics societies.
Anthony Atkinson is Emeritus Professor of Statistics at the London School of Economics. He is author, or coauthor, of six books and co-editor of a further six, including the Proceedings of mODa 5, 6, 9 and 10. In addition, he has published over 200 papers in scientific journals. He is an (elected) member of the International Statistical Institute and a fellow of the American Statistical Association.
This volume contains pioneering contributions to both the theory and practice of optimal experimental design. Topics include the optimality of designs in linear and nonlinear models, as well as designs for correlated observations and for sequential experimentation. There is an emphasis on applications to medicine, in particular, to the design of clinical trials. Scientists from Europe, the US, Asia, Australia and Africa contributed to this volume of papers from the 11th Workshop on Model Oriented Design and Analysis.
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