Repeated Measurements And Cross-Over Designs

This book focuses on cross-over trials and designs and provides comprehensive coverage of several topics that have not yet been compiled together within one book. The authors bring together numerous results in the field, provide mathematical details for the benefit of mathematical statisticians and researchers, include SAS(R) programming codes and output, and present interpretations of the output for statisticians working in industry and applied researchers in different disciplines who use repeated measurements data in their research. Optimality of cross-over designs is also briefly addressed as a stepping stone topic for readers to pursue more advanced methods and applications. Many practical examples are presented, such as PK/PD studies in the pharmaceutical industry, k-sample and one sample repeated measurement designs for psychological studies, residual effects of different treatments in controlling conditions such as asthma, blood pressure, and diabetes. Chapter coverage includes: one sample repeated measurement designs; k-sample repeated measurement designs; growth curve models; cross-over designs without residual effects; cross-over designs with residual effects; two-period cross-over designs with residual effects; and sample constructions of cross-over designs.