Repeated Measurements and Cross-Over Designs

<p><b>An introduction to state-of-the-art experimental design approaches to better understand and interpret repeated measurement data in cross-over designs.</b></p> <p><i>Repeated Measurements and Cross-Over Designs</i>:</p> <ul> <li>Features the close tie between the design, analysis, and presentation of results</li> <li>Presents principles and rules that apply very generally to most areas of research, such as clinical trials, agricultural investigations, industrial procedures, quality control procedures, and epidemiological studies</li> <li>Includes many practical examples, such as PK/PD studies in the pharmaceutical industry, k-sample and one sample repeated measurement designs for psychological studies, and  residual effects of different treatments in controlling conditions such as asthma, blood pressure, and diabetes.</li> <li>Utilizes SAS(R) software to draw necessary inferences.  All SAS output and data sets are available via the book’s related website.</li> </ul> <p>This book is ideal for a broad audience including statisticians in pre-clinical research, researchers in psychology, sociology, politics, marketing, and engineering. </p>