This book is a translation of the up-dated version of my German textbook that was written parallel to my lecture "Design of Experiments" which I held at the University of Munich. It was often called to my attention by statisticians in the pharmaceutical in­ dustry, that there is a need for a summarizing and standardized representation of the design and analysis of experiments, that includes the different aspects of classical theory for continuous response and of modern procedures for categori­ cal and especially correlated response, as well as more complex designs, as for example cross-over and repeated measures. My staff and graduate students played an essential part in the preparation of the manuscript. They wrote the text in well-tried precision (Andreas Fie­ ger), worked out examples (Andreas Fieger, Christian Kastner), and prepared several sections in this book (Ulrike Feldmeier, Sabina Illi, Elke Ortmann, An­ drea Schopp, Irmgard Strehler, Christian Kastner, Oliver Loch). I am appreciative of the efforts of those who assisted in the preparation of the English version. In particular, I would like to thank Sabina Illi and Oliver Loch, as well as V.K. Srivastava (University of Lucknow, India) for their careful reading of the English version and invaluable suggestions.

Contents: Introduction.- Comparison of Two Samples.- The Linear Regression Model.- Single-Factor Experiments with Fixed and Random Effects.- More Restrictive Designs.- Multifactor Experiments.- Repeated Measures Model.- Cross-Over Design.- Statistical Analysis of Incomplete Data.- Models for Categorical Response.