Repeated Measurements - by Damaraju Raghavarao & Lakshmi Padgett (Hardcover)
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<p/><br></br><p><b> Book Synopsis </b></p></br></br><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><p/><br></br><p><b> From the Back Cover </b></p></br></br><p><b>An introduction to state-of-the-art experimental design approaches used to understand and interpret repeated measurements and cross-over designs</b></p> <p>Featuring a host of essential concepts for research and experimentation, <i>Repeated Measurements and Cross-Over Designs</i> explores a variety of disciplines that can benefit from the presented methods and results to achieve optimal experimental designs. The book focuses on repeated measurements and cross-over designs and presents plentiful practical examples such as pharmacokinetic/pharmacodynamic (PK/PD) modeling 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.</p> <p>Illustrating the close tie between the design, analysis, and presentation of results, <i>Repeated Measurements and Cross-Over Designs</i> features: </p> <ul> <li>SAS<sup>(R)</sup> programming codes and output in order to draw necessary inferences from the numerous results in the field</li> <li>Useful contributions in repeated measurements, cross-over designs without residual effects (CODWOR), and cross-over designs with residual effects (CODWR)</li> <li>Coverage of fundamental and basic terminology as well as detailed mathematical developments where appropriate</li> <li>Discussion of optimality of cross-over designs for readers who wish to explore more advanced methods and applications</li> </ul> <p><i>Repeated Measurements and Cross-Over Designs</i> is a useful reference for professionals in experimental design and statistical sciences, statistical consultants, and practitioners from fields including biological, medical, agricultural, and horticultural sciences. The book is also a suitable graduate-level textbook for courses on statistics and experimental design.</p><p/><br></br><p><b> About the Author </b></p></br></br><p><b>DAMARAJU RAGHAVARAO, PhD, </b> was Laura H. Carnell Professor and Chairperson in the Department of Statistics at Temple University. With more than fifty years of research experience in all aspects of experimental design, sampling, and multivariate analysis, Dr. Raghavarao authored eight additional books and over 135 journal articles throughout his career.</p> <p><b>LAKSHMI PADGETT, PhD, </b> is Senior Manager at Janssen R&D. Dr. Padgett has authored approximately twenty journal articles, and her research interests include phase I, II, and III trials.</p>
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