Design and Analysis of Cross-Over Trials
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Table of contents:Introduction. The 2 X 2 Cross-Over Trial. Higher-Order Designs for Two Treatments. Designing Cross-Over Trials for Three or More Treatments. Analysis of Continuous Data. Analysis of Categorical Data. Bioequivalence Trials. References.Completely revised and updated, the second edition of this classic text retains its predecessor's careful balance of theory and practice while incorporating new approaches, more data sets, and a broader scope. Enhancements in this edition include a new chapter on bioequivalence, methods for analyzing longitudinal continuous and categorical data, ...
Table of contents:
Introduction. The 2 X 2 Cross-Over Trial. Higher-Order Designs for Two Treatments. Designing Cross-Over Trials for Three or More Treatments. Analysis of Continuous Data. Analysis of Categorical Data. Bioequivalence Trials. References.
Completely revised and updated, the second edition of this classic text retains its predecessor's careful balance of theory and practice while incorporating new approaches, more data sets, and a broader scope. Enhancements in this edition include a new chapter on bioequivalence, methods for analyzing longitudinal continuous and categorical data, extensive real-life examples, and SAS code that allows readers to implement the analyses described. With downloadable SAS programs, thorough treatment of design issues, and a comprehensive catalog of designs, this edition sets a new standard for texts in this area and will undoubtedly be of direct practical value for years to come.
Introduction. The 2 X 2 Cross-Over Trial. Higher-Order Designs for Two Treatments. Designing Cross-Over Trials for Three or More Treatments. Analysis of Continuous Data. Analysis of Categorical Data. Bioequivalence Trials. References.
Completely revised and updated, the second edition of this classic text retains its predecessor's careful balance of theory and practice while incorporating new approaches, more data sets, and a broader scope. Enhancements in this edition include a new chapter on bioequivalence, methods for analyzing longitudinal continuous and categorical data, extensive real-life examples, and SAS code that allows readers to implement the analyses described. With downloadable SAS programs, thorough treatment of design issues, and a comprehensive catalog of designs, this edition sets a new standard for texts in this area and will undoubtedly be of direct practical value for years to come.