Efficacy Analysis in Clinical Trials an Update : Efficacy Analysis in an Era of Machine Learning Paperback / softback
by Ton J. Cleophas, Aeilko H. Zwinderman
Paperback / softback
Description
Machine learning and big data is hot. It is, however, virtually unused in clinical trials.
This is so, because randomization is applied to even out multiple variablesModern medical computer files often involve hundreds of variables like genes and other laboratory values, and computationally intensive methods are requiredThis is the first publication of clinical trials that have been systematically analyzed with machine learning.
In addition, all of the machine learning analyses were tested against traditional analyses.
Step by step statistics for self-assessments are includedThe authors conclude, that machine learning is often more informative, and provides better sensitivities of testing than traditional analytic methods do
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Out of Stock - We are unable to provide an estimated availability date for this product
- Format:Paperback / softback
- Pages:304 pages, 44 Illustrations, color; 251 Illustrations, black and white; XI, 304 p. 295 illus., 44 il
- Publisher:Springer Nature Switzerland AG
- Publication Date:25/09/2020
- Category:
- ISBN:9783030199203
Information
-
Out of Stock - We are unable to provide an estimated availability date for this product
- Format:Paperback / softback
- Pages:304 pages, 44 Illustrations, color; 251 Illustrations, black and white; XI, 304 p. 295 illus., 44 il
- Publisher:Springer Nature Switzerland AG
- Publication Date:25/09/2020
- Category:
- ISBN:9783030199203