Book 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 emphasizes 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 randomized
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 randomized designs
- Randomized 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.
GERALD VAN BELLE, PhD, is Professor Emeritus in the Departments
of Biostatistics and Environmental and Occupational Health Sciences at
the University of Washington. A Fellow of the American Statistical
Association and the American Association for the Advancement of
Science, he has published more than 140 articles in the areas of
experimental design and data characterization as well as analysis with
application to neurodegenerative diseases, effects of air pollution on
health and toxicology, and clinical trials in resuscitation outcomes research.
KATHLEEN F. KERR, PhD, is Associate Professor of Biostatistics
at the University of Washington. A former Burroughs Wellcome
postdoctoral fellow in mathematics and molecular biology, Dr. Kerr
currently serves as associate editor of PLoS Genetics and
Statistical Applications in Genetics and Molecular Biology. Her
research interests include gene expression microarrays, statistical
genetics, experimental design, and biomarker research.
