ENGLISH

Efficacy Analysis in Clinical Trials an Update: Efficacy Analysis in an Era of Machine Learning

Book information

Publisher
Springer International Publishing
Year
2019
ISBN
978-3-030-19917-3, 978-3-030-19918-0
Language
english
Format
PDF
Filesize
30 MB (31923379 bytes)
Edition
1st ed. 2019
Pages
XI, 304\304
Time added
2020-02-08 04:41:09

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 Front Matter ....Pages i-xi Traditional and Machine-Learning Methods for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 1-35 Optimal-Scaling for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 37-53 Ratio-Statistic for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 55-61 Complex-Samples for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 63-73 Bayesian-Network for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 75-85 Evolutionary-Operations for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 87-94 Automatic-Newton-Modeling for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 95-105 High-Risk-Bins for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 107-118 Balanced-Iterative-Reducing-Hierarchy for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 119-135 Cluster-Analysis for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 137-146 Multidimensional-Scaling for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 147-171 Binary Decision-Trees for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 173-184 Continuous Decision-Trees for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 185-194 Automatic-Data-Mining for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 195-210 Support-Vector-Machines for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 211-221 Neural-Networks for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 223-236 Ensembled-Accuracies for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 237-251 Ensembled-Correlations for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 253-267 Gamma-Distributions for Efficacy Analysis (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 269-278 Validating Big Data, a Big Issue (Ton J. Cleophas, Aeilko H. Zwinderman)....Pages 279-298 Back Matter ....Pages 299-304

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