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Table of contents (12 chapters)
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Front Matter
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Back Matter
About this book
Reviews
STATISTICAL METHODS IN MEDICAL RESEARCH
"The beauty of the Zhang and Singer’s book is that it gives an excellent comparison between conventional regression models and recursive partitioning techniques. This comparative approach gives the reader insight into how a recursive partitioning technique can have an advantage over the conventional methods…Overall, the book provides an excellent introduction to tree based methods and their applications. It can be a good place to start learning about recursive partitioning. In addition, biostatisticians will enjoy the real life examples that have been used in the book."
Authors and Affiliations
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Department of Epidemiology and Public Health School of Medicine, Yale University, New Haven, USA
Heping Zhang
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Office of Population Research, Princeton University, Princeton, USA
Burton Singer
Bibliographic Information
Book Title: Recursive Partitioning in the Health Sciences
Authors: Heping Zhang, Burton Singer
Series Title: Statistics for Biology and Health
DOI: https://doi.org/10.1007/978-1-4757-3027-2
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1999
eBook ISBN: 978-1-4757-3027-2Published: 14 March 2013
Series ISSN: 1431-8776
Series E-ISSN: 2197-5671
Edition Number: 1
Number of Pages: XII, 226
Number of Illustrations: 47 b/w illustrations
Topics: Life Sciences, general, Statistics for Life Sciences, Medicine, Health Sciences