The Design and Analysis of Research Studies
By (author) Bryan F. J. Manly
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Design and Analysis of Research Studies by Bryan F. J. Manly
Book DescriptionThis book provides students and research workers in the biological, medical and social sciences with the statistical background needed to collect and analyse data in an intelligent and critical manner. Key examples and case studies are used to illustrate commonly encountered research problems and to explain how they may be solved or even avoided altogether. Professor Manly also presents a clear understanding of the opportunities and limitations of different research designs, as well as an introduction to some new methods of analysis that are proving increasingly popular. Topics covered include the differences between observational and experimental studies; the design of sample surveys; multiple regression and its generalizations to log-linear and logistic models; experimental and quasi-experimental designs; interrupted time series; computer intensive methods of statistical inference; and the ethical considerations of research. In the final chapter, there is a useful discussion of how the various components of a research study (including deciding on the objectives, planning, designing, and the collection and analysis of data) come together. This practical and well-structured book will be essential reading for graduate students and researchers in a wide range of disciplines, including biology, anthropology, medicine and the social sciences.
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Book DetailsISBN: 9780521425803
(228mm x 152mm x 21mm)
Imprint: Cambridge University Press
Publisher: Cambridge University Press
Publish Date: 14-May-1992
Country of Publication: United Kingdom
Books By Author Bryan F. J. Manly
Handbook of Capture-Recapture Analysis, Paperback (October 2005)» View all books by Bryan F. J. Manly
Helps biologists understand state-of-the-art statistical methods for analyzing capture-recapture data. This book introduces the methods for data analysis while explaining the theory behind those methods. It is useful for biologists, biometricians, and statisticians, students in both fields, and anyone else engaged in the capture-recapture process.
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