Abstract
In a 110 patient random sample, the effects of age, psychological, and social scores on health scores were tested, both traditionally, and with the help of machine learning.
Traditional efficacy analysis consisted of
simple linear regressions,
multiple linear regressions,
Bonferroni’s adjustments.
Machine learning efficacy analysis consisted of gamma-distribution methods.
The machine learning methods provided better sensitivity of testing, and were more informative.
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Cleophas, T.J., Zwinderman, A.H. (2019). Gamma-Distributions for Efficacy Analysis. In: Efficacy Analysis in Clinical Trials an Update. Springer, Cham. https://doi.org/10.1007/978-3-030-19918-0_19
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DOI: https://doi.org/10.1007/978-3-030-19918-0_19
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Publisher Name: Springer, Cham
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Online ISBN: 978-3-030-19918-0
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