Abstract
The current book is an introduction to the wonderful methods that statistical software offers in order to analyze large and complex data. A nice thing about the novel methodologies, is, that, unlike the traditional methods like analysis of variance (ANOVA) and multivariate analysis of variance (MANOVA), they can not only handle large data files with numerous exposure and outcome variables, but also can do so in a relatively unbiased way.
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Cleophas, T.J., Zwinderman, A.H. (2013). Conclusions. In: Machine Learning in Medicine. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-5824-7_20
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DOI: https://doi.org/10.1007/978-94-007-5824-7_20
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