[Free read ebook] Statistical Learning for Biomedical Data (Practical Guides to Biostatistics and Epidemiology)
☆ James D. Malley, Karen G. Malley, Sinisa Pajevic ☆
| #2239185 in Books | Cambridge University Press | 2011-03-28 | Original language:English | PDF # 1 | 9.72 x.43 x6.85l,1.32 | File Name: 0521699096 | 298 pages |
||0 of 0 people found the following review helpful.| Nice introductory book ont he topic.|By W. YIP|Nice introductory book.|2 of 3 people found the following review helpful.| clear, elegant, eminently readable|By Roy Rubinfeld|Eminently readable, elegant, interesting and informative, the style of the book is reminiscent of Lewis Thomas's bestsellers like "Lives of a Cell." ||"Some important concepts are explained well including the difference between supervised and unsupervised learning, and describing when specific methods work well and when they don't. They also list twenty canonical questions and point the reader to the sectio
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 w...
[PDF.pz88] Statistical Learning for Biomedical Data (Practical Guides to Biostatistics and Epidemiology) Rating: 3.56 (737 Votes)
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