Limit this search to....

Efficacy Analysis in Clinical Trials an Update: Efficacy Analysis in an Era of Machine Learning 2019 Edition
Contributor(s): Cleophas, Ton J. (Author), Zwinderman, Aeilko H. (Author)
ISBN: 3030199207     ISBN-13: 9783030199203
Publisher: Springer
OUR PRICE:   $75.99  
Product Type: Paperback - Other Formats
Published: September 2020
Qty:
Temporarily out of stock - Will ship within 2 to 5 weeks
Additional Information
BISAC Categories:
- Medical | Biostatistics
- Science | Life Sciences - General
- Mathematics | Probability & Statistics - General
Dewey: 519.5
Physical Information: 304 pages
 
Descriptions, Reviews, Etc.
Publisher 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 variables

Modern medical computer files often involve hundreds of variables like genes and other laboratory values, and computationally intensive methods are required

This 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 included

The authors conclude, that machine learning is often more informative, and provides better sensitivities of testing than traditional analytic methods do