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Design and Analysis of Experiments in the Health Sciences
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Format: Hardback
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Design and Analysis of Experiments in the Health Sciences
$13899
Unit price
/
Unavailable
Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
This title is well suited to graduate students beginning studies in experimental design and analysis, as well as researchers and practitioners in medicine, dentistry, nursing, epidemiology, statistical genetics, and public health seeking a comprehensive and practical resource.
* The principles and rules presented in this book apply very generally to most areas of research, such as clinical trials, agricultural investigations, industrial procedures, quality control procedures, and epidemiological studies. * Current laboratory work of fundamental interest, i.e.
Book Hero Magic formatted this description to make it easier to read. While it's new and
still learning, it may not be perfect - your
feedback is welcome!
Description
An accessible and practical approach to the design and analysis of experiments in the health sciences
Design and Analysis of Experiments in the Health Sciences provides a balanced presentation of design and analysis issues relating to data in the health sciences and emphasises new research areas, the crucial topic of clinical trials, and state-of-the-art applications.
Advancing the idea that design drives analysis and analysis reveals the design, the book clearly explains how to apply design and analysis principles in animal, human, and laboratory experiments while illustrating topics with applications and examples from randomised clinical trials and the modern topic of microarrays. The authors outline the following five types of designs that form the basis of most experimental structures:
- Completely randomised designs
- Randomised block designs
- Factorial designs
- Multilevel experiments
- Repeated measures designs
A related website features a wealth of data sets that are used throughout the book, allowing readers to work hands-on with the material. In addition, an extensive bibliography outlines additional resources for further study of the presented topics.
Requiring only a basic background in statistics, Design and Analysis of Experiments in the Health Sciences is an excellent book for introductory courses on experimental design and analysis at the graduate level. The book also serves as a valuable resource for researchers in medicine, dentistry, nursing, epidemiology, statistical genetics, and public health.
Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
The book is praised for its balanced, approachable style ideal for graduate-level courses in experimental design within the health sciences. Reviewers highlight its value to researchers across medicine, dentistry, nursing, epidemiology, statistical genetics, and public health. It has been noted as a useful resource particularly for practitioners involved in health-related experimentation.
Book Details
INFORMATION
ISBN: 9780470127278
Publisher: John Wiley & Sons Inc
Format: Hardback
Date Published: 10 August 2012
Country: United States
Imprint: John Wiley & Sons Inc
Illustration: Graphs: 40 B&W, 0 Color
Audience: Professional and scholarly
DIMENSIONS
Spine width: 22.0mm
Width: 161.0mm
Height: 244.0mm
Weight: 535g
Pages: 256
About the Author
GERALD VAN BELLE, PhD, is Professor Emeritus in theDepartments of Biostatistics and Environmental and OccupationalHealth Sciences at the University of Washington. A Fellow of theAmerican Statistical Association and the American Association forthe Advancement of Science, he has published more than 140 articlesin the areas of experimental design and data characterization aswell as analysis with application to neurodegenerative diseases,effects of air pollution on health and toxicology, and clinicaltrials in resuscitation outcomes research. KATHLEEN F. KERR, PhD, is Associate Professor ofBiostatistics at the University of Washington. A former BurroughsWellcome postdoctoral fellow in mathematics and molecular biology,Dr. Kerr currently serves as associate editor of PLoS Geneticsand Statistical Applications in Genetics and Molecular Biology.Her research interests include gene expression microarrays,statistical genetics, experimental design, and biomarkerresearch.
Also by Gerald van Belle
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