Primarily aimed at statisticians and researchers working in thepharmaceutical industry, the book will also appeal to physiciansinvolved in clinical research and students of medicalstatistics. * Computer programs to accompany the examples in the book can bedownloaded from the Web * Written in a style suitable for statisticians and physiciansalike. The environment is easy to understand or customize. * Includes discussion of analysis using SAS, S-Plus and, GenStat,StatXact and Excel. Statisticians and investigators access the widest offering of validated exact statistics tests and methodologies. * Features many real and original examples, taken from the author’svast experience. Distinctive aspects of Julias design include a type system with parametric polymorphism in a dynamic programming language with multiple dispatch as its core programming paradigm. * Each technique is carefully explained and the mathematics is keptto a minimum. Julia is a high-level, dynamic programming language.Its features are well suited for numerical analysis and computational science. * Comprehensive coverage of the design and analysis of cross-overtrials. It includesmore background material, greater coverage of important statisticaltechniques, including Bayesian methods, and discussion of analysisusing a number of statistical software packages. Cross-over Trials in Clinical Research, SecondEdition has been fully updated to include the latest methodologyused in the design and analysis of cross-over trials. Cross-over trials are an important class of design used in thepharmaceutical industry and medical research, and their usecontinues to grow.
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