From the reviews of the second edition:
"[This book] is a useful reference or graduate text to complement more common choices for introductory design of experiment books the methods are logically and thoroughly developed in a rigorous, yet understandable manner. The emphasis on pharmaceutical applications throughout the book is helpful, because this continues to emerge as an important area of applications. The book would be helpful for statisticians and researchers in pharmaceutical areas once they had gained a solid understanding of the fundamentals of design of experiments." Journal of the American Statistical Association
"The second edition of this book has been reorganized with a list of topics similar to that of the first edition, but with a revised presentation and order. much greater emphasis now placed on the analysis aspect of design of experiments. a useful reference book or graduate text . The methods are logically and thoroughly developed in a rigorous, yet understandable manner. The book would be helpful for statisticians and researchers in pharmaceutical areas ." (Christine M. Anderson Cook, Journal of the American Statistical Association, Vol. 98 (463), 2003)
"This book is mostly concerned with the mathematical detail of the topics in the contents. There are a few sets of data, to illustrate the material; on these, SAS, S-PLUS or SPSS is used for analysis. This would be an excellent book for mathematics students who take a course in statistics, or graduate statistic students ." (N. R. Draper, Short Book Reviews, Vol. 23 (1), 2003)
"Helge Toutenburg describes this text as a resource/reference book which contains statistical methods used by researchers in applied areas. the theory is described in a shorthand style that gets to the point without overburdening the reader with mathematical detail . the author includes thorough discussions of generalized linear models (categorical data analysis) and repeated-measures designs. a useful, self-contained reference for those who want a quick description of the underlying theory and practice for a large assortment of standard DOE problems." (Peter Wludyka, Technometrics, Vol. 45 (2), May, 2003)
Product Description
This textbook presents the design and analysis of experiments that comprises the aspects of classical theory for continuous response and of modern procedures for categorical response, and especially for correlated categorical response. For any design (independent response and matched pair response) the parametric and nonparametric tests depending on the data level are given. Complex designs, as for example, crossover and repeated measures, are included at an introductory and advanced level. The problem of missing data is discussed and the author proposes procedures for approaching this problem. This volume will be an important reference book for graduate students, university teachers, and for statistical researchers in the pharmaceutical industry and clinical research in medicine and dentistry, as well as in many other applied areas. This second edition contains more examples and graphical illustrations. Chapter 3, ¿The Linear Regression Model,¿ now contains several diagnostic tools and more examples. Chapter 7, "Categorical Response Variables," was completely rewritten. The proofs of the more theoretical Chapters 3 and 4 were moved to an appendix. More emphasis has been placed on explaining and justifying some approaches. Helge Toutenburg is Professor of Statistics at the University of Munich. He has written seventeen books on linear models, statistical methods in quality engineering, and the analysis of designed experiments. He works on applications of statistics to the fields of medicine and engineering.
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