Overview
- Discussion of modern statistical methods for epidemiology and biomedical research that cannot be found in most textbooks, e.g. latent growth curve models, latent class analysis, growth mixture models, regression trees, generalised additive models, and G-estimation etc.
- Written by experts in accessible language for upper-level undergraduate and postgraduate students in epidemiology and biostatistics
- Real life data sets are used extensively in the book to illustrate how these method may be applied in real research
- Each chapter contains a section for further reading list for readers who wish to pursue these methods in greater details
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Table of contents (17 chapters)
Keywords
About this book
Editors and Affiliations
Bibliographic Information
Book Title: Modern Methods for Epidemiology
Editors: Yu-Kang Tu, Darren C. Greenwood
DOI: https://doi.org/10.1007/978-94-007-3024-3
Publisher: Springer Dordrecht
eBook Packages: Biomedical and Life Sciences, Biomedical and Life Sciences (R0)
Copyright Information: Springer Science+Business Media Dordrecht 2012
Hardcover ISBN: 978-94-007-3023-6Published: 18 March 2012
Softcover ISBN: 978-94-007-9406-1Published: 16 April 2014
eBook ISBN: 978-94-007-3024-3Published: 22 May 2012
Edition Number: 1
Number of Pages: XII, 316
Topics: Biomedicine general, Epidemiology, Biostatistics, Cancer Research