Data & IT
Efficacy Analysis in Clinical Trials an Update
Ton J Cleophas • Aeilko H Zwinderman
Inbunden
1569:-
Uppskattad leveranstid 10-16 arbetsdagar
Fri frakt för medlemmar vid köp för minst 249:-
Andra format:
- Pocket/Paperback 1109:-
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
- Format: Inbunden
- ISBN: 9783030199173
- Språk: Engelska
- Antal sidor: 304
- Utgivningsdatum: 2019-09-25
- Förlag: Springer Nature Switzerland AG