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

• Main Authors: Cleophas, Ton J. (Author, http://id.loc.gov/vocabulary/relators/aut), Zwinderman, Aeilko H. (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Subjects: Medicine.; Statistics .; Biostatistics.; Biomedicine, general.; Statistics for Life Sciences, Medicine, Health Sciences.

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 intens...

Table of Contents:

• Preface
• Traditional and Machine-Learning Methods for Efficacy Analysis
• Optimal-Scaling for Efficacy Analysis
• Ratio-Statistic for Efficacy Analysis
• Ratio-Statistic for Efficacy Analysis
• Complex-Samples for Efficacy Analysis
• Bayesian-Networks for Efficacy Analysis
• Evolutionary-Operations for Efficacy Analysis
• Automatic-Newton-Modeling for Efficacy Analysis
• High-Risk-Bins for Efficacy Analysis
• Balanced-Iterative-Reducing-Hierarchy for Efficacy Analysis
• Cluster-Analysis for Efficacy Analysis
• Multidimensional-Scaling for Efficacy Analysis
• Binary Decision-Trees for Efficacy Analysis
• Continuous Decision-Trees for Efficacy Analysis
• Automatic-Data-Mining for Efficacy Analysis
• Support-Vector-Machines for Efficacy Analysis
• Neural-Networks for Efficacy Analysis
• Ensembled-Accuracies for Efficacy Analysis
• Ensembled-Correlations for Efficacy Analysis
• Gamma-Distributions for Efficacy Analysis
• Validation with Big Data, a Big Issue
• Index.