Name: Efficacy Analysis in Clinical Trials an Update: Efficacy Analysis in an Era of Machine Learning (en Inglés)
Price: 80.39 USD
Availability: InStock
Author: Cleophas, Ton J. ; Zwinderman, Aeilko H.
ISBN: 9783030199203

portada Efficacy Analysis in Clinical Trials an Update: Efficacy Analysis in an Era of Machine Learning (en Inglés)

Efficacy Analysis in Clinical Trials an Update: Efficacy Analysis in an Era of Machine Learning (en Inglés)

Formato

Libro Físico

Autor

Ton J. Cleophas

Aeilko H. Zwinderman

Editorial

Springer

Idioma

Inglés

N° páginas

304

Encuadernación

Tapa Blanda

ISBN13

9783030199203

Categorías

Investigación médica
Epidemiología y estadística médica
Probabilidad y estadística
Biología, ciencias de la vida

Efficacy Analysis in Clinical Trials an Update: Efficacy Analysis in an Era of Machine Learning (en Inglés)

Ton J. Cleophas (Autor) · Aeilko H. Zwinderman (Autor) · Springer · Tapa Blanda

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Reseña del libro "Efficacy Analysis in Clinical Trials an Update: Efficacy Analysis in an Era of Machine Learning (en Inglés)"

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