An introduction to state-of-the-art experimental design approaches to better understand and interpret repeated measurement data in cross-over designs.
Repeated Measurements and Cross-Over Designs:
This book is ideal for a broad audience including statisticians in pre-clinical research, researchers in psychology, sociology, politics, marketing, and engineering.
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DAMARAJU RAGHAVARAO, PhD, 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.
LAKSHMI PADGETT, PhD, 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.
An introduction to state-of-the-art experimental design approaches used to understand and interpret repeated measurements and cross-over designs
Featuring a host of essential concepts for research and experimentation, Repeated Measurements and Cross-Over Designs 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.
Illustrating the close tie between the design, analysis, and presentation of results, Repeated Measurements and Cross-Over Designs features:
Repeated Measurements and Cross-Over Designs 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.
An introduction to state-of-the-art experimental design approaches used to understand and interpret repeated measurements and cross-over designs
Featuring a host of essential concepts for research and experimentation, Repeated Measurements and Cross-Over Designs 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.
Illustrating the close tie between the design, analysis, and presentation of results, Repeated Measurements and Cross-Over Designs features:
Repeated Measurements and Cross-Over Designs 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.
"About this title" may belong to another edition of this title.
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Hardcover. Condition: new. Hardcover. An introduction to state-of-the-art experimental design approaches to better understand and interpret repeated measurement data in cross-over designs. Repeated Measurements and Cross-Over Designs: Features the close tie between the design, analysis, and presentation of resultsPresents 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 studiesIncludes 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.Utilizes SAS(R) software to draw necessary inferences. All SAS output and data sets are available via the book's related website. This book is ideal for a broad audience including statisticians in pre-clinical research, researchers in psychology, sociology, politics, marketing, and engineering. An introduction to state-of-the-art experimental design approaches to better understand and interpret repeated measurement data in cross-over designs. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9781118709252
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