Statistical Learning for Biomedical Data (Practical Guides to Biostatistics and Epidemiology) - Image 1

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Cambridge University Press Statistical Learning for Biomedical Data (Practical Guides to Biostatistics and Epidemiology)

Name: Statistical Learning for Biomedical Data (Practical Guides to Biostatistics and Epidemiology)
Brand: Cambridge University Press
Price: 97.0 GBP
Availability: InStock

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Description

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™, neural nets, support vector machines, nearest neighbors and boosting.

Product Specifications

Brand: Cambridge University Press
Format: hardcover
ASIN: 0521875803
Category: Books > Subjects > Health, Family & Lifestyle > Medical & Healthcare Practitioners > Other Branches of Medicine > Forensics
Domain: Amazon UK
Release Date: 24 February 2011
Listed Since: 19 October 2006

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Cambridge University Press Statistical Learning for Biomedical Data (Practical Guides to Biostatistics and Epidemiology)

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