Statistical Learning for Biomedical Data

Language: English

Published by Cambridge University Press, 2011

0521699096 / 9780521699099

Series: Book 4 of 8 - Practical Guides to Biostatistics and Epidemiology

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Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH

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Druck auf Anfrage Neuware - Printed after ordering - This book is for anyone who has biomedical data and needs to identify variables that predict an outcome, for two-group outcomes such as tumor/not-tumor, survival/death, or response from treatment. Statistical learning machines are ideally suited to these types of prediction problems, especially if the variables being studied may not meet the assumptions of traditional techniques. Learning machines come from the world of probability and computer science but are not yet widely used in biomedical research. This introduction brings learning machine techniques to the biomedical world in an accessible way, explaining the underlying principles in nontechnical language and using extensive examples and figures. The authors connect these new methods to familiar techniques by showing how to use the learning machine models to generate smaller, more easily interpretable traditional models. Coverage includes single decision trees, multiple-tree techniques such as Random Forests(TM), neural nets, support vector machines, nearest neighbors and boosting.

Seller Inventory # 9780521699099

Title
Statistical Learning for Biomedical Data
Author
James D. Malley
Publisher
Cambridge University Press
Publication year
2011
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
0521699096
ISBN 13
9780521699099
Item weight
522 grams
Dimensions
244x170x17 mm
Series
Book 4 of 8: Practical Guides to Biostatistics and Epidemiology

AHA-BUCH GmbH

Einbeck, Germany

5-star seller

AbeBooks seller since August 14, 2006

Shipping rates from Germany to U.S.A.

Item5 to 7 business days7 to 10 business days
First itemUS$ 35.41US$ 35.41
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