Efficacy analysis in clinical trials an update : efficacy analysis in an era of machine learning /
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Author / Creator: | Cleophas, Ton J. M., author. |
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Imprint: | Cham : Springer, [2019] ©2019 |
Description: | 1 online resource : illustrations (some color) |
Language: | English |
Subject: | |
Format: | E-Resource Book |
URL for this record: | http://pi.lib.uchicago.edu/1001/cat/bib/11956246 |
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.